Camping World Holdings (CWH) EBIT (2015 - 2026)
Camping World Holdings (CWH) posted EBIT of $91.85 million for Q2 2026, down 29.5% from $130.27 million a year earlier but up 315.9% from the prior quarter.
Camping World Holdings (CWH) EBIT (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBIT at Camping World Holdings was $143.03 million, down 28.5% year-over-year; for FY2025, it came in at $180.2 million, up 21.3% from FY2024.
- Annual EBIT shows a five-year compound annual growth rate of -17.7% (FY2020 to FY2025).
- In prior years, Camping World Holdings' EBIT was $148.57 million in FY2024 (-44.4%), $267.07 million in FY2023 (-53.0%), $568.53 million in FY2022 (-28.9%) and $799.54 million in FY2021 (+67.9%).
- Quarterly EBIT has run from a low of -$50.05 million in Q4 2025 to a high of $254.1 million in Q2 2022 over five years.
- On a year-over-year basis, EBIT increased in four of the last six quarters, with growth averaging 67.1%.
- The strongest year-over-year quarter for EBIT in the past five years was Q1 2025, with growth of 393.7%; the weakest was Q1 2024, with a decline of 92.8%.
- According to Business Quant data, EBIT for the three prior quarters was $22.09 million (Q1 2026), -$50.05 million (Q4 2025) and $79.14 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 27.46 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 6.84 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 1.99 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | 3.55 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 1.10 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 985.75 Mn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | 2.56 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | 923.76 Mn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 680.00 Mn |
| 10 | Camping World Holdings | 288.10 Mn | -581.35 Mn | 538.38 Mn | 91.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 91.85 Mn |
| Mar 31, 2026 | 22.09 Mn |
| Dec 31, 2025 | -50.05 Mn |
| Sep 30, 2025 | 79.14 Mn |
| Jun 30, 2025 | 130.27 Mn |
| Mar 31, 2025 | 20.84 Mn |
| Dec 31, 2024 | -15.45 Mn |
| Sep 30, 2024 | 64.42 Mn |
| Jun 30, 2024 | 95.38 Mn |
| Mar 31, 2024 | 4.22 Mn |
| Dec 31, 2023 | -12.13 Mn |
| Sep 30, 2023 | 87.93 Mn |
| Jun 30, 2023 | 132.68 Mn |
| Mar 31, 2023 | 58.60 Mn |
| Dec 31, 2022 | 9.77 Mn |
| Sep 30, 2022 | 155.53 Mn |
| Jun 30, 2022 | 254.10 Mn |
| Mar 31, 2022 | 149.13 Mn |
| Dec 31, 2021 | 83.34 Mn |
| Sep 30, 2021 | 242.67 Mn |
Camping World Holdings EBIT 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=ebit&ticker=CWH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=CWH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();