Crocs (CROX) Return on Sales [ROS] (2010 - 2026)
Crocs' Return on Sales [ROS] was 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.
Crocs (CROX) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Crocs' Return on Sales [ROS] was 20.73% through Jun 30, 2026, up 14.32 percentage points year-over-year; for FY2025, it was 3.70%, down 21.21 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -11.75 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 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 marks the highest quarterly Return on Sales [ROS] since Q3 2024.
- Compared with a year earlier, Return on Sales [ROS] was higher in 1 of the last eight quarters, with an average year-over-year change of -2.41 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q2 2026 (a gain of 61.42 percentage points); the worst was Q2 2025 (a drop of 66.50 percentage points).
- Per Business Quant data, CROX's Return on Sales [ROS] in the three quarters before Q2 2026 was 21.80% (Q1 2026), 15.29% (Q4 2025) and 20.84% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 11.95% |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 23.57% |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 17.47% |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 18.78% |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 7.82% |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 11.12% |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 28.22% |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 24.22% |
| 10 | V F | 5.53 Bn | 2.15 Bn | 917.04 Mn | -4.98% |
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% |
Crocs Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=CROX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=CROX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();