A chemical tank nearly exploded in suburban Orange County. The intuitive investor response — buy companies built to survive exactly this kind of disaster — lost money in every backtest. The companies that made money had nothing to do with safety. That disconnect is the article.
Stax Research
The Setup
On May 21, 2026, a 34,000-gallon tank of methyl methacrylate started overheating at a GKN Aerospace plant in Garden Grove, California. Methyl methacrylate is a volatile, flammable liquid used to make plastics and resins. When it overheats, it enters thermal runaway — a self-accelerating reaction that can end in explosion. The Orange County Fire Authority identified two scenarios: a toxic spill of 7,000 gallons into a residential neighborhood, or a full detonation that could destroy the site and surrounding homes 1.
By Saturday, firefighters discovered a crack in the tank that might be relieving pressure. But 50,000 people were still evacuated across six cities 2. Governor Newsom asked for a federal emergency declaration 3. The OC District Attorney opened a criminal investigation into GKN Aerospace. A class-action lawsuit was filed.
Environmental remediation is already a $368 billion global industry growing at nearly 7% per year 4. Companies like Clean Harbors, Tetra Tech, and AECOM are the ones who actually show up after a disaster like this with hazmat teams and cleanup contracts. At least 15 U.S. states are passing new chemical safety laws in 2026 5.
So the investor question is not "is this bad?" It obviously is. The question is: can you build a profitable screen around the companies that either survive events like this or get hired to fix them?
How to Think About This
My first instinct was straightforward. Two types of companies should benefit from industrial disasters:
The survivors — large industrials with enough cash, margin, and low debt to absorb a lawsuit, a cleanup bill, or a regulatory crackdown without it denting their business. Think of a $50 billion company eating a $200 million fine. It hurts, but it doesn't break them.
The fixers — environmental services and engineering firms whose revenue goes up every time something explodes. These companies bill by the hour and the disaster is their demand signal.
Both sound intuitive. But here's where the thinking gets more honest.
The "survivor" screen has a problem: the traits you'd use to identify companies that survive regulatory shock — high margins, strong cash flow, low debt, good return on capital — are the same traits that describe almost every well-run large-cap company in America. Apple survives regulatory shock. So does Johnson & Johnson. So does Costco. There's nothing *specific* about the screen. You're really just asking Stax to find "good companies" and calling it a safety thesis.
That's a useful realization, because it means the test isn't just "do safe companies beat unsafe companies?" It's the harder question: does a safety-specific screen beat a generic quality screen? If it doesn't, the thesis isn't wrong — it's just not adding anything you couldn't get for free.
The "fixer" screen has a different problem. Environmental remediation firms are mid-cap specialists. They're profitable, but they're also cyclical — their revenue spikes after disasters but flattens between them. Over a five-year backtest window, you're averaging across years when there were disasters and years when there weren't. The screen can't capture a demand surge that happened in the last week of May 2026.
So here's what I actually tested. Not "are safety stocks good?" — that's too vague. Instead:
| What I'm really asking | How the Stax screen tests it |
|---|---|
| Can companies with fat margins, low debt, and high capital efficiency outperform because they can absorb regulatory shock? | operating_profit_margin ≥ 15, free_cash_flow_yield ≥ 2, debt_to_equity ≤ 1.5, current_ratio ≥ 1.5, ROIC ≥ 12, market_cap ≥ $10B |
| Can profitable companies in the cleanup/remediation space outperform? | operating_profit_margin ≥ 10, free_cash_flow_yield ≥ 3, ROE ≥ 15, debt_to_equity ≤ 2, market_cap ≥ $2B |
| Or does none of this matter — and you'd be better off just buying big profitable companies ranked by momentum? | net_profit_margin ≥ 5, market_cap ≥ $50B, 100% momentum ranking |
What the Data Revealed
Cumulative Portfolio Value: Safety Screens vs. Momentum (2020–2024)
Quarterly snapshots · $100,000 starting capital · Equal weight, monthly rebalance
I ran all three strategies from January 2020 through December 2024 with $100,000, equal weighting, monthly rebalance, quarterly reconstitution, realistic trading costs ($0.005/share commission, 0.1% slippage), and risk controls (20% hard stop, 15% trailing stop, 35% max drawdown circuit breaker).
The Safety Resilience screen found 17 stocks.
That number is the story. When you stack six fundamental filters — high margins AND high ROIC AND strong liquidity AND low debt AND large market cap AND positive free cash flow — on the entire market, you're drawing a Venn diagram with almost nothing in the middle. The strategy made only 23 trades over five years. It barely rotated. The kinds of companies that passed — mature, capital-efficient industrials — are stable by design. They don't drop much, which gave the screen a low 7% max drawdown. But they also don't go up much, especially during a period when the market was rewarding risk-taking, not risk-avoidance. Total return: -1.9%. You would have made more money in a savings account.
This makes sense when you think about what was happening from 2020 to 2024. The Fed cut rates to zero, flooded the system with stimulus, then raised rates faster than any time since the 1980s. That environment rewarded two things: speculative growth stocks during the easy-money phase (2020–2021), and companies with pricing power during the inflation phase (2022–2024). Mature, boring, safety-first industrials benefited from neither tailwind. They didn't crash, but they didn't go anywhere.
The Remediation Cash Flow screen found 117 stocks and lost -2.8%.
More companies, more trades (150 over five years), but the same result: underwater. And worse — a 25.1% max drawdown. Think about that: you would have watched your $100,000 drop to $74,900 at the worst point, and STILL ended up losing money. The profit factor was 0.95, meaning for every dollar won, you lost a dollar and five cents. This is a screen that found real companies in a real industry — but over a five-year average, that industry's demand is not consistently high enough to overcome the fact that many of these mid-cap firms are volatile, capital-intensive, and cyclical.
The momentum control returned +24.7%.
The dumbest strategy won. It screened for $50B+ companies with at least 5% net margin, ranked them purely by six-month price momentum, and rotated monthly. It found 212 companies, made 193 trades, and returned 24.7% over five years with a 0.15 Sharpe. That Sharpe is not impressive — it means the return came with real volatility (30.6% max drawdown). But it's positive, which is more than either thesis strategy can say.
Why did momentum win? Because this backtest window included the post-COVID rally (2020–2021) where momentum was king, the inflation trade (2022) where energy and commodities surged, and the AI boom (2023–2024) where Nvidia alone went from $150 to $500. A momentum screen catches all of those waves. A safety screen, by definition, avoids them.
| Strategy | Total Return | Sharpe | Max DD | Win Rate | Trades |
|---|---|---|---|---|---|
| Chemical Safety Resilience | -1.9% | -1.07 | 7.0% | 52.2% | 23 |
| Remediation Cash Flow | -2.8% | -0.34 | 25.1% | 46.0% | 150 |
| Large-Cap Momentum Control | +24.7% | 0.15 | 30.6% | 53.4% | 193 |
What You Can Do With This
The takeaway is not "safety screening doesn't work." It's that this particular version of the screen was too restrictive to trade and not specific enough to differentiate. That's fixable.
Here's what I'd test next, and why:
1. Drop the current ratio filter from the safety screen. A $10B+ company doesn't need a 1.5x current ratio to survive a crisis — it can issue commercial paper or draw a credit line overnight. That filter probably excluded companies like aerospace primes and defense contractors that are exactly the kind of "safety survivor" you'd want. Removing it might triple the universe.
2. Run 2022–2024 only. The full 2020–2024 window includes the post-COVID sugar rush where everything risky outperformed. If your thesis is that safety screens work during stress, test them during the stress period (rate hikes, SVB collapse, inflation). The safety screen's low drawdown might look a lot better in a window where the momentum screen is getting hit.
3. Blend fundamentals with momentum. The safety screen used 40% momentum / 60% fundamentals. The control used 100% momentum. Try the safety filters at 70% momentum / 30% fundamentals. You keep the "safety floor" but let the ranking follow price, which is what actually drove returns in this window.
4. Watch the real-world catalyst. If Garden Grove leads to tighter chemical storage regulations — new inspection mandates, higher insurance requirements, bigger cleanup bonds — that demand shift shows up in remediation firm earnings over quarters, not days. A backtest can't capture a regulatory change that hasn't happened yet. But you can save the screen and re-run it in six months.
When a disaster makes you want to buy "safe" companies, check whether your screen is actually finding something specific — or just rediscovering "quality" with extra steps. If it's the latter, you're paying a complexity tax for no edge.
Run The Test
stax backtest artifacts/stax-oc-chemical/safety-resilience-thesis.json --start 2020-01-01 --end 2024-12-31 --capital 100000
stax backtest artifacts/stax-oc-chemical/remediation-cashflow.json --start 2020-01-01 --end 2024-12-31 --capital 100000
stax backtest artifacts/stax-oc-chemical/largecap-industrial-control.json --start 2020-01-01 --end 2024-12-31 --capital 100000Strategy Results
Chemical Safety Resilience
-1.9%Remediation Cash Flow
-2.8%Large-Cap Momentum Control
+24.7%January 2020 – December 2024 · $100,000 · Equal weight, monthly rebalance, quarterly reconstitution, $0.005/share commission, 0.1% slippage, 20% hard stop, 15% trailing stop, 35% max drawdown circuit breaker.
Sources
- [1]NY Post, May 24, 2026: “OC officials reveal "critical" update on chemical tank explosion threat” — nypost.com
- [2]PBS, May 2026: “50,000 residents displaced across six cities”
- [3]Governor Newsom press office, May 25, 2026: “Federal emergency declaration request to President Trump”
- [4]Research and Markets, 2025: “Environmental remediation market at $368.57B, 6.65–7.9% CAGR”
- [5]Safer States Coalition, 2026: “15+ U.S. states implementing new chemical safety legislation”
- [6]CBS News, May 2026: “GKN Aerospace Garden Grove incident, class-action lawsuit, DA investigation”
- [7]Time, May 2026: “Orange County chemical tank thermal runaway”
- [8]OCFA Interim Chief TJ McGovern, May 24, 2026: “Press briefing on tank crack discovery”
Frequently Asked Questions
Can you backtest chemical safety stocks?
Yes. You can screen for companies with traits like high margins, low debt, and strong cash flow — characteristics that help absorb regulatory shock — and run them through a historical backtest in Stax to see how they would have performed.
Do industrial safety stocks outperform after disasters?
In our 2020–2024 backtest, safety-specific screens did not outperform a simple large-cap momentum control. The safety traits were too generic to differentiate from broad quality screening.
What is a momentum control strategy?
A momentum control is a baseline strategy that ranks stocks purely by recent price performance without any thesis-specific filters. If a thesis screen cannot beat the momentum control, the thesis may not be adding investable value.