Crocs (CROX) EBITDA (2010 - 2026)
Crocs (CROX) reported EBITDA of $312.52 million for Q3 2026, up 37.1% from $227.99 million a year earlier and up 2.2% from the prior quarter.
Crocs (CROX) EBITDA (2010 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Crocs' EBITDA came in at $1.01 billion, up 260.4% year-over-year; for FY2025, it came in at $228.8 million, down 79.0% from FY2024.
- EBITDA has a five-year compound annual growth rate of -1.1% (FY2020 to FY2025).
- By year, EBITDA came in at $1.09 billion in FY2024 (+0.1%), $1.09 billion in FY2023 (+22.6%), $889.99 million in FY2022 (+24.5%) and $715.04 million in FY2021 (+195.8%).
- The Q3 2026 figure ranks as the highest quarterly EBITDA since Q2 2024.
- Year over year, EBITDA gained in 1 of the last six quarters, with an average decline of 3.0%.
- The high point for year-over-year EBITDA in five years was Q4 2021 (growth of 133.5%); the low point was Q4 2025 (a decline of 23.2%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $305.72 million (Q2 2026), $221.08 million (Q1 2026) and $167.34 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 57.28 Bn | 23.48 Bn | 4.80 Bn | 1.08 Bn |
| 2 | Tapestry | 27.14 Bn | 23.10 Bn | 1.56 Bn | 500.90 Mn |
| 3 | Ralph Lauren | 22.63 Bn | 14.55 Bn | 1.63 Bn | 424.10 Mn |
| 4 | Lululemon Athletica | 12.51 Bn | 6.76 Bn | 1.46 Bn | 595.99 Mn |
| 5 | Deckers Outdoor | 11.73 Bn | 4.92 Bn | 895.11 Mn | 408.50 Mn |
| 6 | Levi Strauss | 8.84 Bn | 5.42 Bn | 1.07 Bn | 277.10 Mn |
| 7 | V F | 8.00 Bn | 4.60 Bn | 1.49 Bn | 426.28 Mn |
| 8 | Crocs | 7.20 Bn | 6.60 Bn | 689.73 Mn | 312.52 Mn |
| 9 | Birkenstock Holding | 6.95 Bn | 5.27 Bn | 493.89 Mn | 326.23 Mn |
| 10 | Gildan Activewear | 5.55 Bn | 4.51 Bn | 624.95 Mn | 410.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 312.52 Mn |
| Jun 30, 2026 | 305.72 Mn |
| Mar 31, 2026 | 221.08 Mn |
| Dec 31, 2025 | 167.34 Mn |
| Sep 30, 2025 | 227.99 Mn |
| Jun 30, 2025 | -408.04 Mn |
| Mar 31, 2025 | 241.51 Mn |
| Dec 31, 2024 | 217.87 Mn |
| Sep 30, 2024 | 288.01 Mn |
| Jun 30, 2024 | 343.28 Mn |
| Mar 31, 2024 | 242.59 Mn |
| Dec 31, 2023 | 223.29 Mn |
| Sep 30, 2023 | 288.60 Mn |
| Jun 30, 2023 | 331.13 Mn |
| Mar 31, 2023 | 248.06 Mn |
| Dec 31, 2022 | 232.78 Mn |
| Sep 30, 2022 | 273.81 Mn |
| Jun 30, 2022 | 256.82 Mn |
| Mar 31, 2022 | 126.57 Mn |
| Dec 31, 2021 | 168.13 Mn |
Crocs EBITDA 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=ebitda&ticker=CROX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=CROX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();