Chegg (CHGG) EV to EBITDA (2017 - 2026)
Chegg's EV to EBITDA was 49.58 in Q2 2026.
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Analysis
Chegg (CHGG) EV to EBITDA (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Chegg's EV to EBITDA was -28.18 through Jun 30, 2026; for FY2023, it came in at 13.52, down 37.4% from FY2022.
- In earlier years, EV to EBITDA was 21.61 in FY2022 (+14.9%), 18.80 in FY2021 (-81.5%), 101.55 in FY2020 (+27.1%) and 79.91 in FY2019 (-52.9%).
- The Q2 2026 figure marks the highest quarterly EV to EBITDA since Q3 2021.
- The best year-over-year quarter for EV to EBITDA over five years was Q4 2022 (growth of 14.9%); the worst was Q2 2022 (a decline of 87.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 52.05 Bn | 24.30 Bn | 695.95 Mn |
| 3 | Samsara | 25.30 Bn | 22.08 Bn | 392.58 Mn |
| 4 | Ptc | 22.27 Bn | 21.08 Bn | 490.47 Mn |
| 5 | Toast | 18.84 Bn | 11.51 Bn | 516.00 Mn |
| 6 | Trimble | 14.60 Bn | 13.67 Bn | 674.90 Mn |
| 7 | Manhattan Associates | 13.86 Bn | 12.85 Bn | 168.33 Mn |
| 8 | Costar | 13.30 Bn | 7.25 Bn | 728.00 Mn |
| 9 | Bentley Systems | 11.98 Bn | 11.44 Bn | 336.74 Mn |
| 10 | Chegg | 74.32 Mn | -85.64 Mn | 28.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.93 |
| Mar 31, 2024 | 6.23 |
| Dec 31, 2023 | 12.86 |
| Sep 30, 2023 | 11.85 |
| Jun 30, 2023 | 8.22 |
| Mar 31, 2023 | 14.02 |
| Dec 31, 2022 | 20.54 |
| Sep 30, 2022 | 14.89 |
| Jun 30, 2022 | 8.25 |
| Mar 31, 2022 | 24.19 |
| Dec 31, 2021 | 18.05 |
| Sep 30, 2021 | 43.22 |
| Jun 30, 2021 | 54.68 |
| Mar 31, 2021 | 58.10 |
| Dec 31, 2020 | 62.60 |
| Sep 30, 2020 | 64.77 |
| Jun 30, 2020 | 60.88 |
| Mar 31, 2020 | 34.18 |
| Dec 31, 2019 | 42.08 |
| Sep 30, 2019 | 40.57 |
API Access
Chegg EV to EBITDA 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=ev-to-ebitda&ticker=CHGG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "CHGG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-ebitda&ticker=CHGG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();