Chegg (CHGG) Price to Earnings (2020 - 2024)
Chegg's Price to Earnings was 52.76 in Q1 2024, up 611.8% from 7.41 a year earlier but down 17.9% from the prior quarter.
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Analysis
Chegg (CHGG) Price to Earnings (2020 - 2024) Analysis & Trends
For FY2023, Price to Earnings at Chegg came in at 64.25, up 436.0% from FY2022.
- In earlier years, Price to Earnings was 11.99 in FY2022.
- Quarterly Price to Earnings has moved between 3.65 (Q2 2023) and 35326.86 (Q3 2021) over five years.
- Compared with a year earlier, Price to Earnings has increased for three straight quarters, with growth averaging 292.3% over the last six quarters.
- Per Business Quant data, CHGG's Price to Earnings in the three quarters before Q1 2024 was 64.25 (Q4 2023), 99.47 (Q3 2023) and 3.65 (Q2 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn |
| 10 | Chegg | 82.08 Mn | -77.89 Mn | 28.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 52.76 |
| Dec 31, 2023 | 64.25 |
| Sep 30, 2023 | 99.47 |
| Jun 30, 2023 | 3.65 |
| Mar 31, 2023 | 7.41 |
| Dec 31, 2022 | 11.99 |
| Sep 30, 2022 | 9.14 |
| Jun 30, 2022 | 53.71 |
| Mar 31, 2022 | 66.17 |
| Sep 30, 2021 | 35,326.86 |
| Jun 30, 2020 | 5,159.76 |
API Access
Chegg 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=CHGG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=CHGG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();