Mining Exchange Concentration 2026: Where Miners Actually List

Summary box

• 3,070 tracked companies across 37 exchanges.


• Top three exchanges account for 77.7% of the total.


• Concentration score (HHI-style) is 2413, indicating high concentration.


• Use the stocks directory to filter by exchange and open company profiles.

Last updated: 2026-02-04

Concentration analysis shows how much of the mining universe is clustered in a few exchanges. When the top buckets dominate, policy changes, financing windows, or regulatory shifts in those areas can ripple across supply forecasts and equity performance.

The data below summarizes exchanges concentration as of 2026-02-04 using Mining Terminal's tracked companies. Use it as a macro lens before drilling into individual opportunities.

Exchange concentration snapshot

| Rank | Exchange | Companies | Share |
| --- | --- | --- | --- |
| 1 | TSX-V | 1,162 | 37.9% |
| 2 | ASX | 820 | 26.7% |
| 3 | CSE | 404 | 13.2% |
| 4 | TSX | 220 | 7.2% |
| 5 | AIM | 149 | 4.9% |
| 6 | OTC | 107 | 3.5% |
| 7 | NYSE | 58 | 1.9% |
| 8 | LSE | 46 | 1.5% |
| 9 | JSE | 19 | 0.6% |
| 10 | NEO | 15 | 0.5% |

What concentration means for investors

• Policy sensitivity: High concentration means regulatory changes in top jurisdictions or exchanges can impact a large share of the pipeline.
• Liquidity differences: Smaller exchanges or frontier jurisdictions often come with wider spreads and higher financing risk.
• Crowding risk: Investors can over-allocate to the same few areas, raising correlation during downturns.

How to use this dataset

Start by filtering the stocks directory to isolate the dominant exchanges. Then compare stage mix or company size before building a watchlist.

For deeper context, open technical reports and news releases in the filings database to validate each project or company.

Interpreting concentration levels

A moderate or high concentration score means the top buckets drive most of the activity. That can be positive if those areas have mature infrastructure, but it also increases exposure to regulatory or financing shocks.
Low concentration implies a broader distribution, which can lower correlation risk but may complicate screening because the opportunity set is more fragmented.

Portfolio construction implications

When concentration rises, diversify across stages and company sizes to avoid overexposure to a single exchanges cluster.
Use watchlists to track policy or market events that could affect the dominant buckets, and rebalance when concentration shifts materially.

Signals that concentration is shifting

Sudden increases in project filings, financing activity, or M&A within a single bucket can quickly raise concentration risk.
Track quarterly updates and catalysts in the filings database to detect changes before they appear in aggregate counts.

Analyst framework

A disciplined exchanges concentration thesis starts with a supply and demand map. Use the pipeline counts to gauge how much optionality exists, then stress-test that against price cycles and financing conditions.

Project quality matters more than project count. Review grade, scale, metallurgy, and infrastructure access to separate assets that can move quickly from those that will sit in optionality for years.

Management decisions and capital discipline can reshape outcomes. Companies with similar footprints can deliver very different returns depending on funding structure, joint ventures, and dilution history.

Scenario planning keeps analysis honest. Build base, bull, and bear cases that adjust for capex inflation, permitting slippage, and commodity price volatility, then compare those scenarios to current valuations.

Due diligence workflow

Use Mining Terminal to triage the exchanges exposure universe. Start with the filters in projects or stocks, then narrow the list to the assets and companies that match your risk tolerance.

Next, read the highest-signal documents. Technical reports confirm resource and reserve updates, while financial filings show dilution risk and liquidity runway. News releases provide timing signals but require validation.

Finally, map catalysts and risks. Track permitting decisions, feasibility updates, and financing events so you can update your thesis as new data arrives. Document each milestone in your watchlist.

Key outputs to capture:

• Stage-mix summary and jurisdiction exposure.


• Balance-sheet strength and recent financing terms.


• Project-level milestones and timelines.


• A risk register with downside triggers.

Deep-dive angles

After the initial screen, go deeper on the exchanges concentration themes that could reshape supply. Look for assets with permitting momentum, scale, and strategic partners that increase the probability of reaching production.

Peer comparison is essential. Compare similar projects on grade, metallurgy, infrastructure, and jurisdiction to identify which ones have the highest chance of advancing through financing cycles.

Finally, focus on risk-adjusted timelines. A project that is technically attractive but politically constrained may carry more downside than a smaller asset in a supportive jurisdiction.

Metrics to monitor

• Share of activity in the top three buckets.
• Stage mix within the dominant buckets.
• Financing volume or listing changes in leading exchanges or jurisdictions.
• Policy or regulatory updates affecting top regions.
• M&A activity that reshapes concentration.

Scenario planning

Base case: The exchanges concentration pipeline advances at its historical pace, with steady financing and moderate permitting timelines. This keeps supply growth gradual and favors operators with strong balance sheets.

Bull case: Capital markets reopen and permitting accelerates, allowing a larger share of the exchanges concentration pipeline to move into construction. Prices can soften if supply surprises, so watch for early signals of overbuild.

Bear case: Financing tightens or policy risk rises, delaying projects and increasing dilution risk. In this scenario, low-cost producers and royalty companies tend to be more resilient.

Common pitfalls to avoid

• Assuming concentration is static and not monitoring changes over time.
• Ignoring how stage mix changes the impact of concentration.
• Overweighting dominant buckets without diversification.
• Failing to account for policy shifts in leading regions.
• Treating concentration as a direct valuation signal.

Action plan

Translate the exchanges concentration insights into a short list of investable names. Prioritize assets with clear catalysts, manageable jurisdiction risk, and access to capital.

Next, build a monitoring cadence. Update your notes when new filings, financings, or policy changes occur so your thesis reflects the latest data rather than stale assumptions.

Finally, size exposure based on stage and liquidity. Late-stage projects can offer faster payoff but carry construction risk, while early-stage assets require patience and stricter risk limits.

Recommended steps:

• Create a shortlist of 10–20 companies from the top tables.


• Rank them by stage mix, balance-sheet strength, and jurisdiction quality.


• Assign catalysts and expected dates from recent filings.


• Set downside triggers and stop-loss rules for each name.


• Review the list monthly and after major announcements.

Screening workflow in Mining Terminal

Use the workflow below to move from broad dataset insights to a focused research list. The goal is to capture the highest-signal projects or companies and document the assumptions behind each choice.

Start with filters, then validate details in filings before committing capital. This keeps the process consistent across commodities and jurisdictions.

1) Start in the projects database and filter by commodity, stage, and country.
2) Cross-check the company list in the stocks directory and open profiles for balance-sheet context.
3) Validate project claims in the filings database and keep notes in your watchlist.

Outputs to capture:

• A short list of 10–20 names with clear catalysts.


• A table of stage mix and jurisdiction exposure.


• A summary of balance-sheet strength and funding needs.

Concentration risk checklist

• Identify the top three buckets and assess their policy stability.
• Compare liquidity and disclosure standards across the leading exchanges or jurisdictions.
• Review stage mix to understand how much of the pipeline is near-term.
• Stress-test portfolio exposure against the dominant buckets.
• Monitor financing windows for exchanges or regions that dominate listings.

Key definitions

• Concentration score: An HHI-style metric based on share of activity within each bucket.
• Bucket: A category such as commodity, jurisdiction, or exchange used for grouping.
• Stage mix: The distribution of projects across normalized stages.
• Concentration risk: Exposure to shocks that impact dominant buckets disproportionately.

Risks and caveats

• Project counts do not guarantee economic viability; many projects never reach production.
• Stage labels are normalized from public disclosures and may lag real-world changes.
• Multi-commodity deposits can appear under a single primary mineral, which can mask co-product exposure.
• Data reflects filings and disclosures available as of the last update date.

Frequently asked questions

Why does exchanges concentration matter?
Concentration shows where capital and exploration activity cluster, which can amplify regulatory and financing shocks.

Is high concentration always bad?
Not necessarily. Clusters can also indicate mature ecosystems and better infrastructure, but they raise correlation risk.

How can I reduce concentration risk?
Diversify across jurisdictions, stages, and exchanges using filters in Mining Terminal.

Market context and cycle positioning

The mining exchange concentration data is most useful when anchored to the capital cycle. During strong pricing and risk-on conditions, exploration activity expands quickly, which can inflate headline project counts without guaranteeing production.
When financing tightens, only the best-capitalized projects advance and the pipeline compresses. Stage mix is the fastest way to separate near-term supply from long-dated optionality.

Operational signals to track

• Permitting timelines relative to historical averages and peer jurisdictions.
• Frequency and discount size of equity raises for developers.
• Changes in project economics that reflect cost inflation or scope creep.
• Resource update cadence and grade consistency over time.
• M&A or farm-in activity that consolidates project ownership.

How to refresh this dataset

Use the filters in projects or stocks to rebuild the same tables on demand. Start with commodity and stage filters, then narrow by jurisdiction or exchange to isolate the exposures that matter for your portfolio.
When counts move materially, revisit the top companies and confirm whether the shift is driven by real project advancement or by new listings and reclassification.

Research memo structure

An effective memo ties the dataset to a specific trade idea. Start with the stage mix, then identify the operators most exposed to the dominant buckets. Finish with a catalyst map and downside triggers so the thesis is executable, not just descriptive.

Additional research notes

Strong datasets still require judgment. Use the numbers as a filter, then spend time on the assets where management has demonstrated capital discipline and technical consistency. Look for repeated delivery against guidance and clear capital allocation priorities.
When in doubt, privilege balance-sheet strength and jurisdiction quality over headline scale. Mining cycles reward patience more than speed, especially when capital markets tighten.

Additional research notes

Strong datasets still require judgment. Use the numbers as a filter, then spend time on the assets where management has demonstrated capital discipline and technical consistency. Look for repeated delivery against guidance and clear capital allocation priorities.
When in doubt, privilege balance-sheet strength and jurisdiction quality over headline scale. Mining cycles reward patience more than speed, especially when capital markets tighten.

Decision framework

A strong decision framework for Mining Exchange Concentration 2026: Where Miners Actually List starts with a clear base case and a clear reason the base case could be wrong. If the thesis depends on a single assumption, define it explicitly and monitor that assumption in filings and news flow.
Translate the data into actions: decide what would make you add, trim, or exit. This keeps the analysis disciplined when prices move or new information arrives.

Final review checklist

• Is the thesis supported by current filings and not just historical data?
• Are the key risks tied to specific, monitorable triggers?
• Does the balance sheet support the project timeline?
• Is the position sized appropriately for liquidity and stage risk?
• Have you compared at least two peers with similar exposure?

Downside scenario discipline

Downside cases should be explicit, not implied. Consider what happens if financing stalls, permitting slows, or costs inflate. If the downside case breaks the thesis, size exposure accordingly.
The goal is not to avoid risk but to price it. A well-defined downside case makes it easier to act when the data shifts.

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Methodology: Counts are derived from Mining Terminal's companies table as of 2026-02-04. Concentration score uses an HHI-style calculation on percentage shares.

Disclaimer: This analysis is provided for informational purposes only and does not constitute investment advice. Mining Terminal is not a registered investment advisor. Mining stocks carry significant risks including commodity price volatility, operational challenges, and regulatory changes. Always conduct your own research and consult with a qualified financial advisor before making investment decisions. Data sourced from company filings and may not reflect the most recent developments.