Camping World Holdings (CWH) Long-Term Debt Repayments (2015 - 2026)
Camping World Holdings' Long-Term Debt Repayments was $12.48 million in Q2 2026, up 99.0% from $6.27 million a year earlier but down 77.8% from the prior quarter.
Camping World Holdings (CWH) Long-Term Debt Repayments (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, Camping World Holdings' Long-Term Debt Repayments was $106.18 million through Jun 30, 2026, up 193.9% year-over-year; for FY2025, it was $49.92 million, down 38.3% from FY2024.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of 6.3% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $80.94 million in FY2024 (+107.8%), $38.96 million in FY2023 (+216.2%), $12.32 million in FY2022 (-93.1%) and $177.95 million in FY2021 (+383.7%).
- Quarterly Long-Term Debt Repayments has moved between $453,000 (Q4 2022) and $56.32 million (Q1 2026) over five years.
- Compared with a year earlier, Long-Term Debt Repayments was higher in five of the last eight quarters, with growth averaging 132.6%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q1 2026 (growth of 798.6%); the worst was Q2 2022 (a decline of 97.6%).
- Per Business Quant data, CWH's Long-Term Debt Repayments in the three quarters before Q2 2026 was $56.32 million (Q1 2026), $11.7 million (Q4 2025) and $25.69 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,722.94 Bn | 2,239.64 Bn | 104.83 Bn | 3.21 Bn |
| 2 | Home Depot | 322.70 Bn | 315.94 Bn | 16.12 Bn | 1.62 Bn |
| 3 | Tjx Companies | 162.51 Bn | 140.05 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 113.74 Bn | 106.71 Bn | 8.58 Bn | 21.00 Mn |
| 5 | O Reilly Automotive | 75.17 Bn | 74.25 Bn | 2.52 Bn | - |
| 6 | Ross Stores | 74.64 Bn | 57.57 Bn | 2.12 Bn | - |
| 7 | Target | 70.07 Bn | 64.66 Bn | 8.94 Bn | 38.00 Mn |
| 8 | Autozone | 53.20 Bn | 52.10 Bn | 2.52 Bn | 428.06 Mn |
| 9 | Carvana | 42.42 Bn | 32.91 Bn | 1.38 Bn | 21.00 Mn |
| 10 | Camping World Holdings | 288.10 Mn | -581.35 Mn | 538.38 Mn | 14.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.36 Mn |
| Mar 31, 2026 | 58.19 Mn |
| Dec 31, 2025 | 14.51 Mn |
| Sep 30, 2025 | 27.59 Mn |
| Jun 30, 2025 | 8.14 Mn |
| Mar 31, 2025 | 8.03 Mn |
| Dec 31, 2024 | 47.86 Mn |
| Sep 30, 2024 | 11.41 Mn |
| Jun 30, 2024 | 35.80 Mn |
| Mar 31, 2024 | 57.23 Mn |
| Dec 31, 2023 | 13.74 Mn |
| Sep 30, 2023 | 5.09 Mn |
| Jun 30, 2023 | 15.33 Mn |
| Mar 31, 2023 | 10.29 Mn |
| Dec 31, 2022 | 1.89 Mn |
| Sep 30, 2022 | 5.46 Mn |
| Jun 30, 2022 | 5.98 Mn |
| Mar 31, 2022 | 4.98 Mn |
| Dec 31, 2021 | 24.50 Mn |
| Sep 30, 2021 | 3.36 Mn |
Camping World Holdings 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=CWH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "CWH", "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=CWH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();