Crocs (CROX) Income from Continuing Operations (2010 - 2026)
Crocs (CROX) posted Income from Continuing Operations of $204.89 million for Q2 2026, compared with -$492.28 million a year earlier and up 48.9% from the prior quarter.
Crocs (CROX) Income from Continuing Operations (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Income from Continuing Operations at Crocs was $593.42 million, up 150.9% year-over-year; for FY2025, it was -$81.2 million.
- In prior years, Crocs' Income from Continuing Operations was $950.07 million in FY2024 (+19.9%), $792.57 million in FY2023 (+46.7%), $540.16 million in FY2022 (-25.6%) and $725.69 million in FY2021 (+132.0%).
- The Q2 2026 figure stands as the highest quarterly Income from Continuing Operations since Q4 2024.
- On a year-over-year basis, Income from Continuing Operations increased in three of the last six quarters, with an average decline of 8.2%.
- The strongest year-over-year quarter for Income from Continuing Operations in the past five years was Q3 2021, with growth of 148.0%; the weakest was Q4 2025, with a decline of 71.5%.
- According to Business Quant data, Income from Continuing Operations for the three prior quarters was $137.56 million (Q1 2026), $105.17 million (Q4 2025) and $145.82 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income (Continuing) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 1.07 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 347.80 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 262.20 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 329.22 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 94.80 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 90.40 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 244.68 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 204.89 Mn |
| 10 | V F | 5.53 Bn | 2.15 Bn | 917.04 Mn | -97.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 204.89 Mn |
| Mar 31, 2026 | 137.56 Mn |
| Dec 31, 2025 | 105.17 Mn |
| Sep 30, 2025 | 145.82 Mn |
| Jun 30, 2025 | -492.28 Mn |
| Mar 31, 2025 | 160.10 Mn |
| Dec 31, 2024 | 368.91 Mn |
| Sep 30, 2024 | 199.80 Mn |
| Jun 30, 2024 | 228.91 Mn |
| Mar 31, 2024 | 152.45 Mn |
| Dec 31, 2023 | 253.59 Mn |
| Sep 30, 2023 | 177.03 Mn |
| Jun 30, 2023 | 212.41 Mn |
| Mar 31, 2023 | 149.54 Mn |
| Dec 31, 2022 | 137.74 Mn |
| Sep 30, 2022 | 169.35 Mn |
| Jun 30, 2022 | 160.32 Mn |
| Mar 31, 2022 | 72.76 Mn |
| Dec 31, 2021 | 154.85 Mn |
| Sep 30, 2021 | 153.49 Mn |
Crocs Income from Continuing Operations 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=income-from-continuing-operations&ticker=CROX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-continuing-operations", "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=income-from-continuing-operations&ticker=CROX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();