Chegg (CHGG) Return on Capital Employed [ROCE] (2014 - 2026)
Chegg (CHGG) recorded Return on Capital Employed [ROCE] of -38.91% in Q2 2026, up 122.96 percentage points from -161.87% a year earlier and up 18.76 percentage points from the prior quarter.
Chegg (CHGG) Return on Capital Employed [ROCE] (2014 - 2026) Analysis & Trends
For FY2025, Chegg reported Return on Capital Employed [ROCE] of -27.02%, up 68.74 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a five-year change of -30.24 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at -95.76% in FY2024 (-91.47 pp), -4.29% in FY2023 (-4.64 pp), 0.35% in FY2022 (-2.81 pp) and 3.16% in FY2021 (-0.06 pp).
- The Q2 2026 figure is the highest quarterly Return on Capital Employed [ROCE] since Q1 2024.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased for four consecutive quarters, with an average year-over-year change of -18.68 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 122.96 percentage points in Q2 2026, against a drop of 175.47 percentage points in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at -57.68% (Q1 2026), -62.42% (Q4 2025) and -62.18% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 13.55% |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 1.12% |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 21.19% |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 21.53% |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 10.56% |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 8.74% |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 112.05% |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 0.82% |
| 10 | Chegg | 82.08 Mn | -77.89 Mn | 28.28 Mn | -38.91% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -38.91% |
| Mar 31, 2026 | -57.68% |
| Dec 31, 2025 | -62.42% |
| Sep 30, 2025 | -62.18% |
| Jun 30, 2025 | -161.87% |
| Mar 31, 2025 | -158.16% |
| Dec 31, 2024 | -180.90% |
| Sep 30, 2024 | -135.86% |
| Jun 30, 2024 | -56.71% |
| Mar 31, 2024 | -5.37% |
| Dec 31, 2023 | -5.43% |
| Sep 30, 2023 | -4.22% |
| Jun 30, 2023 | -1.33% |
| Mar 31, 2023 | -0.04% |
| Dec 31, 2022 | 0.39% |
| Sep 30, 2022 | 1.15% |
| Jun 30, 2022 | 1.56% |
| Mar 31, 2022 | 2.53% |
| Dec 31, 2021 | 2.66% |
| Sep 30, 2021 | 3.33% |
Chegg Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=CHGG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=CHGG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();