The S&P 500 has experienced a dynamic period from 2021 through the first half of 2026

Published July 4, 2026

It was characterized by a rapid post-pandemic surge, a difficult inflationary correction, and a subsequent AI-driven rally.

S&P 500 Performance Summary (2021–2026)

Year	Total Return	Key Market Drivers
2021	+28.71%	Massive fiscal stimulus, ultra-low interest rates, and the reopening of the global economy after the pandemic.
2022	-18.11%	The “inflation shock.” Rapid interest rate hikes by the Fed, the Ukraine conflict, and a bear market in both stocks and bonds.
2023	+26.29%	The “AI breakout.” Enthusiasm for generative AI fueled the “Magnificent 7,” and the economy proved resilient despite high rates.
2024	+25.02%	Continued AI expansion and high corporate earnings; markets benefited from a “soft landing” narrative.
2025	+17.88%	Fundamentals-driven growth. Gains were led by earnings growth rather than valuation expansion; strong market concentration in mega-caps.
2026 (YTD)	~+10.0%	Volatility driven by the U.S./Israel-Iran conflict and energy price spikes, balanced by continued tech/semiconductor leadership.

Detailed Year-by-Year Context

2021: The Post-COVID Recovery: Markets thrived on the massive liquidity provided by central banks and government stimulus. Low interest rates made stocks highly attractive, leading to a broad rally across almost all sectors.
2022: The Inflationary Reset: This was a outlier year where traditional “hedges” failed. Persistent, high inflation forced the Federal Reserve to embark on a rapid cycle of interest rate hikes. This crushed growth-heavy tech stocks and increased bond yields, resulting in a rare, simultaneous decline in both equities and fixed-income assets.
2023: The Artificial Intelligence Surge: Investors largely ignored the recession warnings that dominated headlines at the start of the year. The primary driver was the massive investment in AI infrastructure, specifically benefiting the largest technology companies (the “Magnificent 7”).
2024: Stability and Scaling: The momentum from 2023 continued. The primary narrative shifted to whether the U.S. could achieve a “soft landing” (lowering inflation without triggering a recession), which ultimately bolstered investor confidence and sustained high index returns.
2025: Fundamentals over Sentiment: Unlike the prior years, which were often fueled by enthusiasm for AI, 2025 was marked by actual earnings growth. While market leadership remained narrow—concentrated heavily in a small group of large-cap tech and semiconductor firms—the price gains were more directly tied to corporate bottom lines.
2026 (First Half): Geopolitical Volatility: The first half of 2026 was defined by the outbreak of the U.S./Israel-Iran conflict. The resulting closure of the Strait of Hormuz caused a massive spike in energy prices in March, leading to a sharp market drawdown. However, markets have shown resilience since then, supported by persistent demand for semiconductor compute power and expectations that the U.S. Fed is better positioned than global counterparts to manage the economic fallout.

Note: Returns shown are annual total returns (price change plus dividends). Data for 2026 reflects year-to-date performance as of early July 2026.

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Technical Analysis is about trading with the trend

Note: This technical analysis is for educational purposes. Please conduct your own analysis or consult a financial advisor before making investment decisions. The author of this article may hold long or short positions in the featured stocks or indexes. The article was written with the help of AI and was reviewed by an editor.

Trump made more than a billion dollars from cryptocurrency ventures in first year back in office

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Published on CNN July 1 , 2026

President Donald Trump collected billions of dollars through an array of cryptocurrency holdings, royalty payments and property investments last year, according to his latest annual financial disclosure released on Tuesday.

The 2025 report, which totals 927 pages, provides the most extensive look so far at the growing fortune that the president has amassed since returning to office, including through his stakes in companies co-founded by family members.

Trump netted more than $526 million from sales of cryptocurrency tokens tied to World Liberty Financial LLC — a firm managed in part by his sons, Eric and Donald Trump Jr. The president holds several other cryptocurrency investments totaling millions of dollars, according to the disclosures.

More…. Trump made more than a billion dollars from cryptocurrency ventures in first year back in office | CNN Politics

Also, enjoy this story….. https://www.wsj.com/finance/currencies/trump-made-1-billion-on-crypto-deals-while-his-fans-lost-a-fortune-408754c9?mod=hp_lead_pos1

Gold trading below 200-day moving average

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Published June 24, 2026

Analysis: The major trend is up, the intermediate trend is down, and the near-term trend is down. Gold is down about 25% from the March high. The 50-day moving average is about to cross below the 200-day moving average which is called the death cross. The key support level is $4000. After that, the next support level is around $3400. On the positive side, the RSI indicator is oversold and MACD is oversold which could indicate a bounce off $4000 support level. The fundamental reason for the downtrend is the uptrend in the U.S. Dollar (USD) which is experiencing a period of renewed strength, driven largely by shifting expectations regarding Federal Reserve monetary policy and resilient economic indicators. Gold trades inversely to the U.S. Dollar.

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Technical Analysis is about trading with the trend

What is a hyperscaler?

Published May 29, 2026

A hyperscaler is a massive cloud service provider that offers computing, storage, and networking infrastructure on an enormous, globally distributed scale.

The term comes from hyperscale computing, an IT architecture designed to seamlessly scale up to thousands (or millions) of servers to handle massive, fluctuating workloads without compromising performance or reliability.

If a traditional data center is a localized warehouse, a hyperscaler is a global logistics network.

Who are the Major Hyperscalers?

While many companies provide cloud hosting, only a handful have the capital and physical footprint to be considered true hyperscalers. The market is dominated by the “Big Three”:

Amazon Web Services (AWS): The global market leader, holding the largest share of cloud infrastructure.
Microsoft Azure: Heavily integrated into enterprise ecosystems and deeply tied to corporate IT environments.
Google Cloud Platform (GCP): Known for its high-performance data analytics and native AI capabilities.

Other notable players include Meta (which operates at hyperscale primarily for its own family of apps), Alibaba Cloud (dominant in Asia), and Oracle Cloud Infrastructure (OCI).

Key Characteristics of a Hyperscaler

To be classified as a true hyperscaler by industry standards (like the International Data Corporation), a provider generally must meet several massive criteria:

Physical Footprint: They must operate facilities housing at least 5,000 servers (though the top players house hundreds of thousands of servers across millions of square feet).
Elasticity (Horizontal & Vertical Scaling): Hyperscalers can scale resources horizontally (adding more servers to a network) or vertically (adding more power to an existing server) in seconds via automated software orchestration.
Global Redundancy: They operate across dozens of geographic “Regions” and “Availability Zones.” If an entire data center facility loses power or suffers a natural disaster, workloads are automatically and seamlessly redirected to a backup facility halfway across the world without the end-user noticing.

Why Hyperscalers Matter (Especially in 2026)

Historically, hyperscalers were used to host massive websites, stream video content (like Netflix on AWS), or manage enterprise databases. However, the rise of the Artificial Intelligence boom has made them the literal backbone of the global economy.

1. The AI Powerhouse

Training and running Large Language Models (LLMs) requires an astronomical amount of computational power. Hyperscalers are the only entities capable of buying, cooling, and networking tens of thousands of specialized AI microchips (like NVIDIA GPUs) into unified “superclusters.”

2. Shifting CapEx to OpEx

Before hyperscalers, if a company wanted to launch a new software application, they had to spend millions buying physical servers, renting a building, and hiring technicians (Capital Expenditure, or CapEx). With a hyperscaler, they pay a monthly bill only for the exact computing seconds they use (Operational Expenditure, or OpEx).

3. The “Platform” Ecosystem

Hyperscalers no longer just rent out raw computer chips and digital storage space. They offer thousands of pre-built, managed services—including cybersecurity firewalls, automated data analytics, blockchain nodes, and out-of-the-box AI training modules—allowing businesses to innovate rapidly.

Summary: Traditional Data Center vs. Hyperscaler

Feature	Traditional Data Center	Hyperscaler Cloud
Size	Typically under 10,000 sq. ft.	Massive complexes, often the size of football fields.
Server Count	Hundreds to a few thousand.	Hundreds of thousands to millions globally.
Scaling Speed	Requires manually ordering and installing hardware (weeks/months).	Handled instantly via software APIs (seconds).
Pricing Model	High upfront infrastructure investment.	Pay-as-you-go subscription model.

It’s obvious Mr. Trump is leveraging the presidency for immense financial gain

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Published in The Globe and Mail on May 25, 2026

Here is an excerpt from the article.

His first year back in office was the most profitable of his life, bestowing US$3-billion in wealth on the family fortune, according to Forbes.

Mr. Trump’s self-enrichment campaign comes at a cost to us all. It rips off those on the other side of those trades. And it undermines the fairness of the public markets.

In March, more than US$800-million worth of oil futures changed hands just minutes before Mr. Trump announced on Truth Social that strikes on Iran’s infrastructure would be postponed, according to the Wall Street Journal.

Same thing a couple weeks ago, as detailed by the influential market commentator The Kobeissi Letter. In the early hours of May 6, someone bet nearly US$1-billion on crude oil shorts, which pay off if the price of oil drops. About an hour later, Axios reported that a deal to end the war in Iran was in the works. Oil prices quickly dove by 12 per cent, and those shorts netted a cool US$125-million.

Donald Trump cashes in on power, and investors pay the price – The Globe and Mail

The Canadian ETF industry has experienced an unprecedented boom

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Published May 23, 2026

The Canadian ETF industry has experienced an unprecedented boom, with total Assets Under Management (AUM) officially crossing the $800 billion CAD milestone. A massive chunk of this capital is heavily concentrated among the “Big Three” issuers: BlackRock (iShares), Vanguard, and BMO.

The largest Canadian-listed ETFs, categorized by their distinct investment styles, dominate the retail and institutional landscape.

1. Core Broad-Market Equity (Passive Indexing)

These are the heavyweights of the Canadian financial system. They track massive, cap-weighted indices to give investors low-cost, bedrock exposure to Canadian and U.S. stock markets.

iShares Core S&P/TSX Capped Composite Index ETF (XIC): Standing as one of the single largest ETFs in Canada at ~$25.2 billion AUM, XIC tracks the entire Canadian stock market (large, mid, and small-cap).
iShares S&P/TSX 60 Index ETF (XIU): At ~$21.4 billion AUM, this is the evolution of the world’s very first ETF. It strips out smaller companies and holds just the 60 blue-chip giants of the TSX.
Vanguard S&P 500 Index ETF (VFV): This is the go-to vehicle for Canadians seeking unhedged exposure to the U.S. stock market. It has consistently been one of the fastest-growing funds in Canada due to its rock-bottom management fee (0.08%).
BMO S&P/TSX Capped Composite Index ETF (ZCN): BMO’s primary domestic heavy-hitter sitting at ~$14.7 billion AUM, mirroring XIC’s broad strategy with ultra-low costs.

2. Asset Allocation (“All-in-One” Portfolios)

This style represents a major shift in how Canadians build portfolios. These funds handle automatic rebalancing across global equities and fixed income within a single ticker. It is the fastest-growing investment style, drawing massive inflows.

iShares Core Equity ETF Portfolio (XEQT): Holding roughly $6.7 billion+ AUM, XEQT is an aggressive 100% equity portfolio holding over 9,000 global stocks (split across the U.S., Canada, International, and Emerging Markets).
Vanguard All-Equity ETF Portfolio (VEQT): Vanguard’s direct competitor to XEQT, also maintaining a pure 100% stock structure with slightly different regional weightings.
Vanguard Growth ETF Portfolio (VGRO): The quintessential “Growth Balanced” option, keeping a strict 80% equity / 20% fixed income split for investors who want a minor bond cushion.

3. Fixed Income & Aggregate Bonds

When equity markets see volatility or interest rate projections shift, capital floods back into these foundational bond packages.

BMO Aggregate Bond Index ETF (ZAG): Holding ~$10.04 billion AUM, ZAG is the giant of Canadian fixed income. It provides comprehensive exposure to investment-grade government, provincial, and corporate bonds.
iShares Core Canadian Universe Bond Index ETF (XBB): A close rival to ZAG, offering a nearly identical diversified bond mix to anchor traditional 60/40 balanced portfolios.

4. Dividend & Income-Focused (High Yield)

Canadian investors traditionally love cash flow, making dividend and specialty income styles incredibly lucrative.

Vanguard FTSE Canadian High Dividend Yield Index ETF (VDY): With ~$3.34 billion AUM, VDY tracks the highest-yielding blue chips in Canada. Because the TSX is top-heavy, it leans aggressively into the Big Banks and massive energy infrastructure providers (like Enbridge).
The Covered Call Phenomenon: While funds like VDY dominate traditional indexing, Enhanced/Covered Call ETFs (managed by firms like Global X and BMO) are surging. They overlay option-writing strategies onto equity baskets to manufacture yields north of 7–9% for income-starved retirees.

5. Cash & Liquid Money Market

When investors want to sideline cash while earning a risk-free yield, they look to High-Interest Savings Account (HISA) and Money Market ETFs.

Purpose High Interest Savings ETF (PSA): At ~$3.35 billion AUM, PSA pools investor capital to purchase high-interest cash accounts directly from Canada’s Tier-1 banks, paying out monthly interest.
BMO Money Market Fund (ZMMK): An ultra-short-term safety play that invests in corporate promissory notes and treasury bills, built for maximum capital preservation.

At-A-Glance structural Overview

Investment Style	Top Representative	Ticker	Core Exposure Focus	Typical Cost (MER)
Broad Market Domestic	iShares Core S&P/TSX	XIC	~200+ Canadian Stocks	~0.06%
Broad Market US	Vanguard S&P 500	VFV	500 Largest US Stocks	~0.09%
Fixed Income	BMO Aggregate Bond	ZAG	Gov & Corp Canadian Bonds	~0.09%
All-in-One Global	iShares Core Equity	XEQT	100% Global Stocks	~0.20%
High Dividend	Vanguard High Div Yield	VDY	Canadian Banks & Energy	~0.22%
Cash / Capital Pres.	Purpose High Interest	PSA	Cash Deposits at Big Banks	~0.15%

The Current Landscape Trend

The overarching theme is a flight toward simplification. Instead of buying 5 or 6 regional ETFs, both retail investors and professional advisors are increasingly relying on All-in-One funds like XEQT or VEQT for their core equity weightings, and adding specific aggregate bond or high-dividend overlays to tilt toward their specific income needs.

Here is a good article from The Globe and Mail on ETFs.

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Technical Analysis is about trading with the trend

Canada produced the world’s very first Exchange-Traded Fund (ETF) for investors

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Published May 23, 2026

While many people mistakenly assume the United States created the vehicle, Canada beat Wall Street to the punch by nearly three years.

The Birth of the ETF: TIPs 35

On March 9, 1990, the Toronto Stock Exchange (TSX) launched the Toronto 35 Index Participation Units (TIPs).

What it did: It allowed retail and institutional investors to buy a single basket of securities that tracked the 35 largest companies in Canada.
The Legacy: TIPs served as the global prototype for what we know as the modern ETF. Over the years, it evolved and is still traded today as the iShares S&P/TSX 60 Index ETF (XIU), making it the oldest existing ETF in the world.

The Common Misconception: The U.S. “Spider”

The reason most people think the U.S. invented the ETF is because of the massive popularity of the SPDR S&P 500 ETF Trust (SPY).

State Street and the American Stock Exchange (AMEX) launched SPY in January 1993.
While SPY didn’t come first, it revolutionized the global market structure because it was the first to successfully automate the creation/redemption mechanism at a massive scale. Today, it remains the largest ETF in the world.

Canada’s History of “Firsts”

Following the success of TIPs, Canada’s favorable regulatory environment turned Bay Street into a testing ground for investment innovation:

1990: World’s first Equity ETF (TIPs)
2000: World’s first Fixed-Income/Bond ETF (iShares Core Canadian Universe Bond Index ETF)
2021: World’s first retail Bitcoin ETF (Purpose Bitcoin ETF)

The Big Picture: What started as a niche experiment in Toronto in 1990 completely transformed global investing, democratizing diversification for everyday retail investors.

As NVIDIA (NVDA) hovers around a $5.5 trillion market cap, its valuation presents a fascinating paradox

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Published May 20, 2026

As NVIDIA (NVDA) hovers around a $5.5 trillion market cap—trading in the $220 to $225 range—its valuation presents a fascinating paradox. While it remains one of the most valuable companies in the world, its valuation multiples have quietly compressed to near-historical lows relative to its massive earnings power.

1. Price-to-Earnings (P/E) Metrics

NVIDIA’s valuation looks drastically different depending on whether you look backward or forward.

Trailing P/E (LTM): ~42x – 45x Based on trailing twelve-month earnings, NVIDIA trades at roughly 43 times earnings. While this is a premium compared to the broader S&P 500 (average ~20x), it represents a monumental drop from the peak AI euphoria of 2023, when its trailing P/E routinely cleared 140x to 240x.
Forward P/E (NTM): ~25x – 27x Looking at expected earnings over the next 12 months, the multiple drops significantly. A forward P/E in the mid-20s places NVIDIA in line with—or even cheaper than—large-cap tech peers like Microsoft and Apple, and vastly cheaper than direct semiconductor rivals like AMD (which trades at a much higher trailing multiple due to lower absolute earnings).

2. Historical Context: The “Compression” Story

NVIDIA is currently trading below its own long-term historical valuation averages.

Its 3-year average P/E sits at ~53x.
Its 5-year average P/E sits at ~63x.
Its 10-year historical average sits at ~64x.

Even before the generative AI boom, the market always commanded a premium for NVIDIA due to its gaming and crypto tailwinds. At ~42x trailing earnings today, the stock is being priced more like a mature, high-quality growth business rather than a speculative momentum trade.

3. Other Critical Valuation Metrics

Gross & Net Profit Margins (The Moat)

What prevents NVIDIA’s P/E from skyrocketing alongside its stock price is its unprecedented profitability.

Gross Margins: Sustaining at an incredible ~75%.
Net Profit Margins: Reached an extraordinary 71% in the most recent Q1 earnings report (Net Income of $58 billion on $82 billion in revenue).

PEG Ratio (Price/Earnings-to-Growth): ~0.6x – 1.0x

When factoring in growth, NVIDIA looks remarkably inexpensive. A PEG ratio below 1.0 traditionally indicates that a stock is undervalued relative to its growth rate. With Wall Street projecting aggregate earnings growth of over 70% for NVIDIA this fiscal year, its PEG ratio remains highly attractive.

Price-to-Sales (P/S) Ratio: ~22x

This remains NVIDIA’s most expensive metric. A P/S ratio above 20x is historically risky for hardware companies, but it reflects the absolute monopoly NVIDIA currently maintains over tier-one AI data center deployments (Blackwell and upcoming Rubin architectures).

4. The Valuation Debate: Hardware vs. “Tokenomics”

The primary disconnect between structural bulls and bears comes down to how you define NVIDIA’s business model:

The Bear Case (Hardware Cycle): Hardware multiples eventually mean-revert. Hyperscaler (Microsoft, Google, AWS) capex will eventually plateau, enterprise hardware cycles will turn, and competitive pressure from AMD or custom in-house silicon will erode those 75% gross margins.

The Bull Case (“Tokenomics” Factory): CEO Jensen Huang argues that framing NVIDIA as a “chip company” is structurally incorrect. In his view, modern AI data centers are not IT costs; they are manufacturing equipment. Instead of consuming power to run software, they are factories producing a highly valuable commodity: Tokens (text, code, synthetic data, and video).

5. What is Capping the Multiples?

If earnings are beating expectations (Q1 revenue grew 85% YoY), why are the multiples compressing?

The China Hole: Direct export curbs have driven NVIDIA’s China data center revenue from $17.1 billion down to effectively zero, creating an onboarding headwind that the rest of the world has had to absorb.
Macro Geopolitics: Broad market anxiety surrounding Middle East energy shocks and sustained inflation has kept a lid on broad tech multiple expansions, preventing NVDA from re-testing its historical 60x+ valuation heights.

https://investor.nvidia.com/financial-info/financial-reports/default.aspx

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Technical Analysis is about trading with the trend

Copper at all-time high

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Published May 12, 2026

Here is a longer-term chart:

copper long-term chart showing the major uptrend

The rally is accelerating as speculative buyers and industrial hedgers scramble to secure physical supply.

COMEX Copper: Hit a new intraday all-time high of $6.58 per pound this morning, currently settling around $6.53/lb (+1.8%).
LME Copper: Trading near $13,950 per metric ton, holding the gains from yesterday’s record settlement of $13,943.
Performance: The metal is now up approximately 15% year-to-date, with nearly 8% of those gains occurring since the intensification of the conflict in the Middle East.

Why the Rally Won’t Quit

Beyond the “Grasberg” supply shock from Freeport Indonesia, two new catalysts are dominating the tape today:

The “Strait of Hormuz” Premium: Analysts are now labeling copper a “geopolitical defensive asset.” With shipping routes through the Strait of Hormuz effectively suspended, the global refining market is facing a massive “sulphuric acid” shortage. Since sulphuric acid is critical for copper leaching, this is creating a secondary supply squeeze on top of the mining delays.
Tariff Front-Running: There is growing evidence that U.S. buyers are “front-running” anticipated 25% refined copper tariffs expected to be announced by the White House before June. This is causing a massive dislocation between US and London prices as stocks are hoarded on North American soil.
AI Data Center Demand: New reports suggest that global AI power infrastructure requirements for 2026 are 20% higher than initial projections, further tightening the structural deficit.

Caterpillar (CAT) epitomizes the buy and hold strategy

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Published May 3, 2026

This is not a tech stock. Caterpillar produces tractors.

Here is a chart from 1998. What was the annualized return if you held this stock from 1998?

https://www.caterpillar.com

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Technical Analysis is about trading with the trend

Pigs get fat

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Both the Trumps and Witkoffs began cashing out during the run-up to the Trump inauguration

Do your own research!

Deficit and total debt as a percent of GDP for major world economies

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Posted April 20, 2026

As of April 2026, the global fiscal landscape is defined by a push-and-pull between high defense spending, massive AI infrastructure investment, and impact of elevated energy prices.

The following table ranks the G20 major economies by their projected general government budget balance (net lending/borrowing) as a percentage of GDP for the 2026 fiscal year. Countries with the highest negative percentages represent the largest deficits.

Fiscal Deficit Ranking: Major World Economies (2026 Projection)

Rank	Economy	Deficit/Surplus (% of GDP)	Primary Fiscal Drivers
1	China	-8.2%	Infrastructure stimulus and property sector support.
2	Brazil	-7.7%	Social spending and high debt-servicing costs.
3	India	-7.4%	Continued heavy capital expenditure on infrastructure.
4	United States	-5.8%	Rising mandatory spending and net interest outlays.
5	France	-4.9%	Energy transition subsidies and defense modernization.
6	South Africa	-4.9%	Support for state-owned enterprises and power grid.
7	United Kingdom	-3.9%	Public service funding and debt interest volatility.
8	Germany	-3.8%	Defense “Zeitenwende” and industrial energy support.
9	Saudi Arabia	-3.5%	Vision 2030 mega-projects and oil price volatility.
10	Mexico	-3.5%	Social programs and Pemex financial support.
11	Turkey	-3.4%	Earthquake reconstruction and inflation mitigation.
12	Indonesia	-2.9%	New capital city (Nusantara) development.
13	Italy	-2.8%	Phasing out of “Superbonus” construction incentives.
14	Canada	-2.7%	Provincial healthcare transfers and housing initiatives.
15	Australia	-2.4%	Transitioning back to deficit as commodity prices ease.
16	Japan	-2.0%	Demographic-driven social costs vs. tax revenue growth.
17	Russia	-2.0%	Sustained military expenditures.
18	South Korea	-1.5%	Semiconductor subsidies and aging population costs.
19	Argentina	+0.5% (Surplus)	Strict fiscal austerity and subsidy removals.
20	Singapore	+3.3% (Surplus)	High corporate tax revenue and prudent reserve policy.

Key Macro Trends for 2026

The Interest Burden: For advanced economies like the United States and France, net interest payments are consuming an increasing share of GDP. Projections show US interest costs reaching 3.5% of GDP this year, nearly equal to its defense budget.
Defense & Technology: In Europe, the -3.8% to -4.9% deficits are increasingly driven by a permanent shift in defense spending targets (approaching 2.5% to 3.0% of GDP). Globally, fiscal incentives for AI and semi-conductors have become a “baseline” expenditure for major economies.
The Austerity Exception: Argentina remains a notable outlier, shifting from a deep deficit to a marginal surplus following radical fiscal restructuring, though this has come at the cost of significantly suppressed domestic consumption.

Following the fiscal deficit projections, the general government gross debt-to-GDP ratio provides a clearer picture of the total accumulated debt relative to each country’s economic output.

As of April 2026, debt levels remain elevated across advanced economies due to high interest rates and the expansion of industrial and defense subsidies. The following table ranks the G20 major economies by their projected debt-to-GDP ratios for the 2026 fiscal year, based on the latest IMF World Economic Outlook data.

Public Debt-to-GDP Ranking: Major World Economies (2026)

Rank	Economy	Debt-to-GDP (%)	Context & Fiscal Drivers
1	Japan	230.1%	Decades of stimulus and an aging population.
2	Singapore	172.5%	High, but primarily used for sovereign investment.
3	Italy	137.4%	Persistent structural debt and high servicing costs.
4	United States	125.8%	Rising interest outlays and mandatory spending.
5	France	118.4%	Post-pandemic recovery spending and defense.
6	Canada	114.2%	High household and provincial-level debt.
7	United Kingdom	103.6%	Elevated public service spending vs. slow growth.
8	Spain	98.2%	Gradual deleveraging from pandemic-era peaks.
9	China	96.3%	Rapid rise due to local government and property support.
10	Euro Area (Avg)	87.8%	Broad regional average across EU member states.
11	Brazil	84.5%	High social expenditure and borrowing costs.
12	India	81.9%	Heavy infrastructure spending to fuel 6.5% growth.
13	Argentina	78.4%	Down from previous highs due to strict austerity.
14	South Africa	77.1%	State-owned enterprise support (Energy/Transport).
15	Germany	64.0%	Constrained by the constitutional “debt brake.”
16	South Korea	54.4%	Increasing support for semiconductor and tech R&D.
17	Australia	51.3%	Strong commodity exports helping offset debt.
18	Mexico	45.4%	Disciplined fiscal policy relative to regional peers.
19	Saudi Arabia	32.1%	Low debt, but rising due to “Vision 2030” projects.
20	Russia	19.1%	Heavily sanctioned and isolated from global markets.

Critical Observations

The $100% Threshold: A majority of the G7 nations (Japan, Italy, US, France, Canada, UK) are now operating with debt levels exceeding 100% of their GDP. This creates a “fiscal squeeze” where a growing portion of tax revenue must be diverted to pay interest rather than funding infrastructure or services.
The “Investment” Outlier: Singapore remains the exception to the rule. Unlike other nations, its debt is not used to fund budget deficits but is instead issued to provide a pool of assets for the Central Provident Fund and for reinvestment by its sovereign wealth funds (GIC/Temasek).
China’s Trajectory: China has seen one of the fastest debt increases in the G20, rising from roughly 60% in 2019 to over 96% today, as the central government absorbs the liabilities of local governments and the struggling property sector.

Note: Published with the assistance of AI and reviewed by an editor.