Camping World Holdings (CWH) Price to Earnings (2016 - 2026)
Camping World Holdings' (CWH) quarterly Price to Earnings came in at 18.03 in Q2 2026, down 40.92% on a YoY basis from 30.52 in Q2 2025, and up 168.34% quarter-over-quarter from 26.38 in Q1 2026.
Camping World Holdings (CWH) Price to Earnings (2016 - 2026) Analysis & Trends
Camping World Holdings (CWH) has reported Price to Earnings for 11 consecutive years, with 18.03 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Price to Earnings fell 40.92% year-over-year to 18.03; the trailing twelve-month figure through Jun 2026 stood at 6.49 (up 95.91% YoY), and the FY2025 full-year result was 9.48, up 68.56% from the prior year.
- Price to Earnings grew to 18.03 in Q2 2026 per CWH's latest filing, from 26.38 in the prior quarter.
- Across five years, Price to Earnings topped out at 378.99 in Q1 2023 and bottomed at 66.81 in Q1 2025.
- Historically, Price to Earnings has averaged 33.47 across 5 years, with a median of 13.87 in 2022.
- The sharpest annual moves came in 2023 and 2025: Price to Earnings soared 1534.08% in 2023, then slumped 120.56% in 2025.
- Over 5 years, Price to Earnings stood at 26.6 in 2022, then slumped by 35.71% to 36.1 in 2023, then decreased by 14.57% to 41.36 in 2024, then surged by 77.82% to 9.17 in 2025, then jumped by 296.51% to 18.03 in 2026.
- According to Business Quant data, Price to Earnings over the past three periods registered 18.03, 26.38, and 9.17 for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Carvana | 71.60 Bn | 69.97 Bn | 1.38 Bn |
| 2 | Penske Automotive | 13.96 Bn | 13.91 Bn | 1.36 Bn |
| 3 | Carmax | 8.11 Bn | 7.52 Bn | 854.41 Mn |
| 4 | Lithia Motors | 6.96 Bn | 6.62 Bn | 1.50 Bn |
| 5 | Autonation | 5.57 Bn | 5.51 Bn | 1.23 Bn |
| 6 | Sonic Automotive | 5.24 Bn | 5.22 Bn | 616.20 Mn |
| 7 | Uxin | 5.15 Bn | 5.21 Bn | 10.88 Mn |
| 8 | Asbury Automotive | 3.29 Bn | 3.25 Bn | 753.10 Mn |
| 9 | Group 1 Automotive | 2.94 Bn | 2.77 Bn | 860.60 Mn |
| 10 | Camping World Holdings | 579.48 Mn | 508.51 Mn | 538.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.03 |
| Mar 31, 2026 | -26.38 |
| Dec 31, 2025 | -9.17 |
| Sep 30, 2025 | -55.03 |
| Jun 30, 2025 | 30.52 |
| Mar 31, 2025 | -66.81 |
| Dec 31, 2024 | -41.36 |
| Sep 30, 2024 | 267.69 |
| Jun 30, 2024 | 67.92 |
| Mar 31, 2024 | -48.81 |
| Dec 31, 2023 | -36.10 |
| Sep 30, 2023 | 55.66 |
| Jun 30, 2023 | 39.06 |
| Mar 31, 2023 | 378.99 |
| Dec 31, 2022 | -26.60 |
| Sep 30, 2022 | 21.90 |
| Jun 30, 2022 | 9.71 |
| Mar 31, 2022 | 23.19 |
| Dec 31, 2021 | -1,238.59 |
| Sep 30, 2021 | 18.27 |
Camping World Holdings Price to Earnings 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=price-to-earnings&ticker=CWH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=CWH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();