Crocs (CROX) Depreciation & Amortization (CF) (2009 - 2026)
Crocs' Depreciation & Amortization (CF) came in at $20.59 million for Q3 2026, up 1.3% from $20.33 million a year earlier and up 2.7% from the prior quarter.
Crocs (CROX) Depreciation & Amortization (CF) (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Crocs reported Depreciation & Amortization (CF) of $81.82 million, up 7.3% year-over-year; for FY2025, it came in at $79.28 million, up 13.5% from FY2024.
- Depreciation & Amortization (CF) has increased in each of the last six years, with a five-year compound annual growth rate of 23.5% (FY2020 to FY2025).
- Going back by year, Depreciation & Amortization (CF) was $69.84 million in FY2024 (+28.6%), $54.3 million in FY2023 (+38.4%), $39.23 million in FY2022 (+22.7%) and $31.98 million in FY2021 (+15.8%).
- The five-year range for quarterly Depreciation & Amortization (CF) is $7.9 million (Q1 2022) to $20.95 million (Q4 2025).
- Year-over-year, Depreciation & Amortization (CF) has increased for 18 consecutive quarters, with growth averaging 12.2% over the last eight quarters.
- The fastest year-over-year change in Depreciation & Amortization (CF) over five years came in Q1 2023 (growth of 66.4%), and the weakest in Q1 2022 (a decline of 2.0%).
- Business Quant data shows CROX's Depreciation & Amortization (CF) at $20.05 million (Q2 2026), $20.24 million (Q1 2026) and $20.95 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 57.42 Bn | 23.62 Bn | 4.80 Bn | 193.00 Mn |
| 2 | Tapestry | 26.82 Bn | 22.74 Bn | 1.49 Bn | 40.00 Mn |
| 3 | Ralph Lauren | 24.00 Bn | 15.93 Bn | 1.63 Bn | 60.40 Mn |
| 4 | Deckers Outdoor | 12.00 Bn | 5.20 Bn | 895.11 Mn | 18.32 Mn |
| 5 | Lululemon Athletica | 11.76 Bn | 6.01 Bn | 1.46 Bn | 142.33 Mn |
| 6 | Levi Strauss | 9.42 Bn | 6.00 Bn | 1.07 Bn | 54.80 Mn |
| 7 | V F | 8.17 Bn | 4.76 Bn | 1.49 Bn | 58.36 Mn |
| 8 | Crocs | 7.38 Bn | 6.78 Bn | 689.73 Mn | 20.59 Mn |
| 9 | Birkenstock Holding | 6.85 Bn | 5.17 Bn | 493.89 Mn | 40.22 Mn |
| 10 | Gildan Activewear | 6.61 Bn | 5.57 Bn | 624.95 Mn | 56.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 20.59 Mn |
| Jun 30, 2026 | 20.05 Mn |
| Mar 31, 2026 | 20.24 Mn |
| Dec 31, 2025 | 20.95 Mn |
| Sep 30, 2025 | 20.33 Mn |
| Jun 30, 2025 | 19.47 Mn |
| Mar 31, 2025 | 18.54 Mn |
| Dec 31, 2024 | 17.95 Mn |
| Sep 30, 2024 | 18.19 Mn |
| Jun 30, 2024 | 17.54 Mn |
| Mar 31, 2024 | 16.16 Mn |
| Dec 31, 2023 | 13.77 Mn |
| Sep 30, 2023 | 14.75 Mn |
| Jun 30, 2023 | 12.64 Mn |
| Mar 31, 2023 | 13.14 Mn |
| Dec 31, 2022 | 12.73 Mn |
| Sep 30, 2022 | 9.74 Mn |
| Jun 30, 2022 | 8.86 Mn |
| Mar 31, 2022 | 7.90 Mn |
| Dec 31, 2021 | 8.14 Mn |
Crocs Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=CROX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=CROX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();