Crocs (CROX) Cost of Revenue (2010 - 2026)
Crocs (CROX) posted Cost of Revenue of $478.76 million for Q2 2026, up 8.7% from $440.54 million a year earlier and up 20.1% from the prior quarter.
Crocs (CROX) Cost of Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at Crocs was $1.72 billion, up 2.5% year-over-year; for FY2025, it came in at $1.68 billion, down 0.5% from FY2024.
- Annual Cost of Revenue shows a five-year compound annual growth rate of 21.5% (FY2020 to FY2025).
- In prior years, Crocs' Cost of Revenue was $1.69 billion in FY2024 (-3.5%), $1.75 billion in FY2023 (+3.4%), $1.69 billion in FY2022 (+89.7%) and $893.2 million in FY2021 (+40.4%).
- The Q2 2026 figure stands as the highest quarterly Cost of Revenue in data going back to Q2 2010.
- On a year-over-year basis, Cost of Revenue has increased in each of the last three quarters, with an average decline of 0.4% over the last eight quarters.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q4 2022, with growth of 109.1%; the weakest was Q3 2024, with a decline of 7.6%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $398.51 million (Q1 2026), $433.98 million (Q4 2025) and $413.29 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 6.42 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 313.00 Mn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 515.60 Mn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 953.75 Mn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 582.90 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 1.12 Bn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 342.46 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 478.76 Mn |
| 10 | V F | 5.64 Bn | 2.26 Bn | 917.04 Mn | 752.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 478.76 Mn |
| Mar 31, 2026 | 398.51 Mn |
| Dec 31, 2025 | 433.98 Mn |
| Sep 30, 2025 | 413.29 Mn |
| Jun 30, 2025 | 440.54 Mn |
| Mar 31, 2025 | 395.78 Mn |
| Dec 31, 2024 | 416.85 Mn |
| Sep 30, 2024 | 428.86 Mn |
| Jun 30, 2024 | 429.59 Mn |
| Mar 31, 2024 | 416.56 Mn |
| Dec 31, 2023 | 429.40 Mn |
| Sep 30, 2023 | 464.08 Mn |
| Jun 30, 2023 | 451.06 Mn |
| Mar 31, 2023 | 407.80 Mn |
| Dec 31, 2022 | 448.84 Mn |
| Sep 30, 2022 | 443.79 Mn |
| Jun 30, 2022 | 466.85 Mn |
| Mar 31, 2022 | 335.22 Mn |
| Dec 31, 2021 | 214.60 Mn |
| Sep 30, 2021 | 226.12 Mn |
Crocs Cost of Revenue 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=cost-of-revenue&ticker=CROX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=CROX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();