Coursera (COUR) Return on Capital Employed [ROCE] (2021 - 2026)
Coursera (COUR) recorded Return on Capital Employed [ROCE] of -22.36% in Q2 2026, down 9.17 percentage points from -13.19% a year earlier and down 8.52 percentage points from the prior quarter.
Coursera (COUR) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, Coursera reported Return on Capital Employed [ROCE] of -12.75%, up 6.19 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has increased for four straight years, with a four-year change of +16.62 percentage points (FY2021 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at -18.93% in FY2024 (+3.97 pp), -22.90% in FY2023 (+2.05 pp), -24.95% in FY2022 (+4.41 pp) and -29.37% in FY2021.
- The Q2 2026 figure is the lowest quarterly Return on Capital Employed [ROCE] since Q4 2023.
- On a year-over-year basis, Return on Capital Employed [ROCE] rose in seven of the last eight quarters, with an average year-over-year change of +4.39 percentage points.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 9.16 percentage points in Q3 2024, against a drop of 9.17 percentage points in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at -13.84% (Q1 2026), -12.10% (Q4 2025) and -11.85% (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 | Coursera | 1.38 Bn | -1.98 Bn | 173.40 Mn | -22.36% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -22.36% |
| Mar 31, 2026 | -13.84% |
| Dec 31, 2025 | -12.10% |
| Sep 30, 2025 | -11.85% |
| Jun 30, 2025 | -13.19% |
| Mar 31, 2025 | -16.13% |
| Dec 31, 2024 | -19.03% |
| Sep 30, 2024 | -18.72% |
| Jun 30, 2024 | -21.73% |
| Mar 31, 2024 | -22.14% |
| Dec 31, 2023 | -23.52% |
| Sep 30, 2023 | -27.87% |
| Jun 30, 2023 | -25.86% |
| Mar 31, 2023 | -26.29% |
| Dec 31, 2022 | -25.00% |
| Sep 30, 2022 | -23.50% |
| Jun 30, 2022 | -22.60% |
| Mar 31, 2022 | -21.61% |
| Dec 31, 2021 | -18.93% |
| Sep 30, 2021 | -15.76% |
Coursera 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=COUR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "COUR", "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=COUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();