Chegg (CHGG) Operating Expenses (2013 - 2026)
Chegg (CHGG) posted Operating Expenses of $31.46 million for Q2 2026, down 70.4% from $106.1 million a year earlier and down 19.2% from the prior quarter.
Powered by 
Analysis
Chegg (CHGG) Operating Expenses (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Chegg was $209.48 million, down 67.4% year-over-year; for FY2025, it was $341.61 million, down 70.9% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of -2.2% (FY2020 to FY2025).
- In prior years, Chegg's Operating Expenses was $1.17 billion in FY2024 (+110.3%), $558.08 million in FY2023 (-0.4%), $560.54 million in FY2022 (+26.5%) and $443.25 million in FY2021 (+16.0%).
- The Q2 2026 figure stands as the lowest quarterly Operating Expenses since Q3 2013.
- On a year-over-year basis, Operating Expenses has declined in each of the last seven quarters, with an average decline of 27.7% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2024, with growth of 291.0%; the weakest was Q2 2025, with a decline of 82.4%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $38.93 million (Q1 2026), $75.93 million (Q4 2025) and $63.17 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 420.93 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 387.71 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 364.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 323.96 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 542.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 182.80 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 231.56 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 652.00 Mn |
| 10 | Chegg | 78.75 Mn | -81.21 Mn | 28.28 Mn | 31.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.46 Mn |
| Mar 31, 2026 | 38.93 Mn |
| Dec 31, 2025 | 75.93 Mn |
| Sep 30, 2025 | 63.17 Mn |
| Jun 30, 2025 | 106.10 Mn |
| Mar 31, 2025 | 96.42 Mn |
| Dec 31, 2024 | 125.21 Mn |
| Sep 30, 2024 | 315.46 Mn |
| Jun 30, 2024 | 602.74 Mn |
| Mar 31, 2024 | 130.34 Mn |
| Dec 31, 2023 | 128.90 Mn |
| Sep 30, 2023 | 132.15 Mn |
| Jun 30, 2023 | 154.14 Mn |
| Mar 31, 2023 | 142.90 Mn |
| Dec 31, 2022 | 146.10 Mn |
| Sep 30, 2022 | 130.97 Mn |
| Jun 30, 2022 | 141.69 Mn |
| Mar 31, 2022 | 141.78 Mn |
| Dec 31, 2021 | 125.56 Mn |
| Sep 30, 2021 | 104.48 Mn |
API Access
Chegg Operating Expenses 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=operating-expenses&ticker=CHGG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CHGG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();