Crocs (CROX) Long-Term Debt Repayments (2010 - 2026)
Crocs' Long-Term Debt Repayments was $202.55 million in Q3 2026, up 35.0% from $150 million a year earlier and up 37.8% from the prior quarter.
Crocs (CROX) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Crocs' Long-Term Debt Repayments was $708.55 million through Sep 30, 2026, down 7.1% year-over-year; for FY2025, it came in at $947 million, up 122.6% from FY2024.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of 32.1% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $425.41 million in FY2024 (-53.9%), $923.7 million in FY2023 (+60.6%), $575.29 million in FY2022 (+18.6%) and $485 million in FY2021 (+106.4%).
- Quarterly Long-Term Debt Repayments has moved between $16.41 million (Q1 2024) and $449 million (Q2 2025) over five years.
- Compared with a year earlier, Long-Term Debt Repayments was higher in six of the last eight quarters, with growth averaging 69.8%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q4 2021 (growth of 800.0%); the worst was Q1 2024 (a decline of 93.6%).
- Per Business Quant data, CROX's Long-Term Debt Repayments in the three quarters before Q3 2026 was $147 million (Q2 2026), $76 million (Q1 2026) and $283 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 59.22 Bn | 25.42 Bn | 4.80 Bn | - |
| 2 | Tapestry | 27.73 Bn | 23.69 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 24.01 Bn | 15.93 Bn | 1.63 Bn | 5.00 Mn |
| 4 | Lululemon Athletica | 12.77 Bn | 7.02 Bn | 1.46 Bn | - |
| 5 | Deckers Outdoor | 12.28 Bn | 5.48 Bn | 895.11 Mn | - |
| 6 | Levi Strauss | 9.33 Bn | 5.91 Bn | 1.07 Bn | - |
| 7 | V F | 8.24 Bn | 4.84 Bn | 1.49 Bn | - |
| 8 | Crocs | 7.62 Bn | 7.03 Bn | 689.73 Mn | 202.55 Mn |
| 9 | Birkenstock Holding | 7.23 Bn | 5.55 Bn | 493.89 Mn | 534.46 Mn |
| 10 | Gildan Activewear | 5.84 Bn | 4.80 Bn | 624.95 Mn | -300.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 202.55 Mn |
| Jun 30, 2026 | 147.00 Mn |
| Mar 31, 2026 | 76.00 Mn |
| Dec 31, 2025 | 283.00 Mn |
| Sep 30, 2025 | 150.00 Mn |
| Jun 30, 2025 | 449.00 Mn |
| Mar 31, 2025 | 65.00 Mn |
| Dec 31, 2024 | 99.00 Mn |
| Sep 30, 2024 | 110.00 Mn |
| Jun 30, 2024 | 200.00 Mn |
| Mar 31, 2024 | 16.41 Mn |
| Dec 31, 2023 | 320.00 Mn |
| Sep 30, 2023 | 90.00 Mn |
| Jun 30, 2023 | 257.70 Mn |
| Mar 31, 2023 | 256.00 Mn |
| Dec 31, 2022 | 225.00 Mn |
| Sep 30, 2022 | 155.29 Mn |
| Jun 30, 2022 | 110.00 Mn |
| Mar 31, 2022 | 85.00 Mn |
| Dec 31, 2021 | 135.00 Mn |
Crocs Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=CROX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=CROX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();