Earnings IV Crush: Quantifying the Post-Earnings Options Decay

By iPresage Research · 9 min read · February 7, 2026

We measured IV crush across 4,200 earnings events over 5 years. Average post-earnings IV drop was 38.2%, but the range was 12% to 71%. Knowing the baseline changes everything.

Every options trader knows that implied volatility collapses after earnings. It is perhaps the most predictable single event in all of options trading. Yet despite this predictability, most traders dramatically underestimate the variance in IV crush magnitude and overestimate their ability to profit from it. We studied 4,200 individual earnings events across 120 of the most actively traded options names from January 2021 through December 2025, and the data reveals both a reliable pattern and a set of traps that ensnare the unprepared.

Our methodology was straightforward. For each earnings event, we recorded the 30-day implied volatility of the front-month at-the-money straddle at market close the day before earnings, and again at market open the day after. The difference, expressed as a percentage decline, is what we define as IV crush. We also recorded the actual stock move as a percentage of the pre-earnings straddle price (the realized-to-implied ratio), the options strategy returns for common earnings plays, and various contextual factors including sector, market cap, VIX level, and historical earnings move patterns.

The aggregate statistics confirm what experienced traders know intuitively. Across all 4,200 earnings events, the average IV crush was 38.2%. That means if a stock's 30-day IV was 60% before earnings, it dropped to approximately 37% afterward on average. The median was 36.8%, indicating a slight positive skew in the distribution. But the range was enormous: the smallest IV crush we observed was 11.7% (General Motors in Q2 2023, where ongoing UAW strike concerns kept post-earnings IV elevated), and the largest was 71.4% (GameStop in Q3 2021, where pre-earnings IV had been inflated to astronomical levels by meme stock speculation).

The standard deviation of IV crush was 11.3 percentage points, which means that even if you know the average crush is 38%, the actual crush on any given event could easily be anywhere from 27% to 50% and still be within one standard deviation. This variance is the reason that naive "sell the straddle before earnings" strategies are far less profitable than backtests typically suggest.

Let us address the most popular earnings volatility trade: selling the at-the-money straddle the day before earnings and closing it at the open the next day. Across our full dataset, this trade was profitable 54.7% of the time with an average return of 3.2% on the straddle premium collected. That sounds appealing, but the return distribution is deeply concerning. The average winning trade returned 19.4%, while the average losing trade lost 22.1%. The skew is negative, meaning the losses tend to be slightly larger than the gains, and the strategy is vulnerable to occasional catastrophic losses when a stock moves well beyond its expected range.

The largest single-trade loss in our dataset was a short straddle on Meta Platforms heading into Q4 2022 earnings. Meta beat expectations, the stock surged 23% the next day, and the straddle seller lost 187% of the premium collected. Events like this, while rare at about 2.3% frequency, are severe enough to erase months of small gains. Our data shows that over any rolling 12-month period, the short straddle strategy had a positive return in only 67% of years, and the worst 12-month period produced a loss of 31.4% of total capital deployed.

The iron butterfly, a more defined-risk version of the straddle sale, fared better. Selling the ATM straddle and buying wings 5% out of the money reduced maximum loss to the wing width minus premium collected. This structure was profitable 56.1% of the time with an average return of 4.7% on risk and, critically, a maximum single-trade loss of 41.2%. The risk-reward tradeoff is more favorable, but the absolute returns are smaller.

Where our research provides the most actionable insight is in identifying which earnings events have the highest probability of profitable IV crush trades. We found three variables that significantly predicted IV crush magnitude and strategy profitability.

First, the IV Percentile Rank (IVR) before earnings. Stocks with pre-earnings IVR above 70 (meaning current IV was in the top 30% of its 52-week range) experienced an average IV crush of 44.1%, compared to 33.7% for stocks with IVR below 50. The straddle-selling win rate for high-IVR events was 59.3%, versus 51.2% for low-IVR events. The intuition is that when IV is already elevated relative to its own history, there is more room for it to compress after the binary event resolves.

Second, the historical realized-to-implied ratio matters enormously. For each stock, we computed the average ratio of actual earnings move to pre-earnings straddle price over the prior eight quarters. Stocks that historically moved less than their straddle implied (ratio below 0.80) were significantly more profitable for IV crush strategies. Selling straddles on these "overpriced volatility" names produced a 63.4% win rate and 6.8% average return, compared to 47.2% and negative 1.4% for stocks that historically moved more than their straddle implied. The iPresage platform tracks this metric as the "Earnings Overwriter Score" on each stock's detail page.

Third, the VIX level at the time of earnings had a counterintuitive effect. Earnings IV crush strategies performed best when VIX was between 16 and 22, not at its lowest. When VIX was below 14, pre-earnings IV inflation tended to be more modest, leaving less room for crush. When VIX was above 25, post-earnings IV often remained elevated due to broader market uncertainty, resulting in smaller-than-expected IV drops. The sweet spot of VIX 16-22 produced a straddle-selling win rate of 58.1%.

We also examined whether the direction of the earnings move affected IV crush magnitude. It did, but not how most traders expect. Stocks that beat expectations and rallied post-earnings experienced an average IV crush of 41.3%, versus 36.7% for stocks that missed and declined. The difference is driven by the volatility skew: put IV is typically higher than call IV before earnings, so when a stock rallies, the entire skew structure compresses more aggressively. This asymmetry means that selling puts before earnings captures more IV crush than selling calls, all else equal. Pre-earnings short put spreads had a 62.8% win rate versus 54.3% for short call spreads across our dataset.

Sector differences were pronounced. Technology stocks exhibited the largest average IV crush at 42.7%, driven by the massive pre-earnings IV inflation in high-growth names like NVDA (average crush of 48.3%), TSLA (44.1%), and AMD (46.2%). Healthcare and Biotech had the second-highest crush at 41.4%, though with much higher variance due to binary FDA-related outcomes that sometimes coincide with earnings reports. Consumer Staples had the lowest average crush at 29.8%, reflecting the lower pre-earnings IV inflation for steady-state businesses with predictable results.

The timing of entry matters more than many traders realize. Entering a short straddle two days before earnings versus one day before produced nearly identical win rates (54.3% versus 54.7%) but with a 1.2 percentage point improvement in average return. The extra day collects additional theta while IV typically continues to increase as the event approaches. Entering three or more days before earnings showed diminishing returns, as the additional theta collection was offset by increased exposure to pre-earnings stock movement.

For traders on the long-volatility side, our data offers a different set of insights. Buying straddles before earnings and holding through the event was profitable only 45.3% of the time. The average return was negative 3.2%, confirming that IV crush systematically works against long premium holders. However, a selective approach dramatically improved results. Buying straddles on stocks with a historical realized-to-implied ratio above 1.20 (stocks that consistently move more than expected) produced a 55.7% win rate and 7.4% average return over 387 qualifying events. The key names in this category during our study period included TSLA (average actual move was 1.34x the straddle price), NFLX (1.28x), META (1.21x), and SNAP (1.41x). These are stocks where the options market systematically underprices the earnings move, creating an edge for long volatility traders.

The iPresage EV (Expected Value) score captures much of this analysis in a single number. When the pre-earnings EV score for a short straddle was above 65, indicating that implied volatility was rich relative to expected move and historical crush patterns, the straddle-selling win rate was 64.2% with an average return of 7.9%. Conversely, when the EV score for a long straddle was above 60, the straddle-buying win rate was 57.3% with an average return of 8.1%. These filtered signals occur less frequently, roughly 15-20 high-conviction setups per earnings season, but they represent the highest expected value opportunities in earnings volatility trading.

One final observation: IV crush is not a one-day phenomenon. Our data shows that approximately 72% of the total IV crush occurs at the open the morning after earnings. But the remaining 28% unfolds over the subsequent three to five trading days as the term structure normalizes and longer-dated options adjust. Traders who sell straddles and attempt to cover at the open may be leaving money on the table. Holding for one to two additional days after earnings captured an incremental 1.4 percentage points of return on average, though at the cost of increased exposure to post-earnings drift.

The practical framework that emerges from this research is clear. Earnings IV crush is real, persistent, and exploitable, but only with disciplined filtering. Sell premium selectively on high-IVR stocks with histories of overpriced implied volatility and favorable EV scores. Buy premium selectively on stocks that consistently move more than expected. Size positions assuming that the worst case is a 200% loss on premium collected for undefined-risk strategies, because it will happen eventually. And use defined-risk structures like iron butterflies and vertical spreads to cap the tail risk that has destroyed many earnings volatility traders over the years. The iPresage earnings scanner provides pre-event IV rank, historical move ratios, and EV scores for every optionable stock reporting that week, making this systematic approach accessible in real time.