Crocs (CROX) Operating Margin (2010 - 2026)
Crocs (CROX) recorded Operating Margin of 24.22% in Q2 2026, up 61.42 percentage points from -37.20% a year earlier and up 2.42 percentage points from the prior quarter.
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Analysis
Crocs (CROX) Operating Margin (2010 - 2026) Analysis & Trends
On a TTM basis, Crocs' Operating Margin came in at 20.73% as of Jun 30, 2026, up 14.32 percentage points year-over-year; for FY2025, it was 3.70%, down 21.21 percentage points from FY2024.
- Annual Operating Margin has a five-year change of -11.75 percentage points (FY2020 to FY2025).
- Across earlier years, Operating Margin came in at 24.91% in FY2024 (-1.25 pp), 26.17% in FY2023 (+2.23 pp), 23.93% in FY2022 (-5.59 pp) and 29.53% in FY2021 (+14.08 pp).
- The Q2 2026 figure is the highest quarterly Operating Margin since Q3 2024.
- On a year-over-year basis, Operating Margin rose in 1 of the last eight quarters, with an average year-over-year change of -2.41 percentage points.
- Peak year-over-year performance for Operating Margin in the last five years was a gain of 61.42 percentage points in Q2 2026, against a drop of 66.50 percentage points in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 21.80% (Q1 2026), 15.29% (Q4 2025) and 20.84% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 11.95% |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 23.57% |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 17.47% |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 18.78% |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 7.82% |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 11.12% |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 28.22% |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 24.22% |
| 10 | V F | 5.67 Bn | 2.29 Bn | 917.04 Mn | -4.98% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.22% |
| Mar 31, 2026 | 21.80% |
| Dec 31, 2025 | 15.29% |
| Sep 30, 2025 | 20.84% |
| Jun 30, 2025 | -37.20% |
| Mar 31, 2025 | 23.79% |
| Dec 31, 2024 | 20.20% |
| Sep 30, 2024 | 25.40% |
| Jun 30, 2024 | 29.31% |
| Mar 31, 2024 | 24.12% |
| Dec 31, 2023 | 21.82% |
| Sep 30, 2023 | 26.19% |
| Jun 30, 2023 | 29.70% |
| Mar 31, 2023 | 26.57% |
| Dec 31, 2022 | 23.28% |
| Sep 30, 2022 | 26.81% |
| Jun 30, 2022 | 25.71% |
| Mar 31, 2022 | 17.98% |
| Dec 31, 2021 | 27.27% |
| Sep 30, 2021 | 32.44% |
API Access
Crocs Operating Margin API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-margin&ticker=CROX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "ticker": "CROX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-margin&ticker=CROX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();