Duolingo (DUOL) Return on Capital Employed [ROCE] (2021 - 2026)
Duolingo's Return on Capital Employed [ROCE] came in at 10.56% for Q2 2026, up 2.13 percentage points from 8.43% a year earlier but down 0.23 percentage points from the prior quarter.
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Analysis
Duolingo (DUOL) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, Duolingo's Return on Capital Employed [ROCE] was 12.37%, up 3.50 percentage points from FY2024.
- Return on Capital Employed [ROCE] has increased in each of the last four years, with a four-year change of +32.41 percentage points (FY2021 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was 8.87% in FY2024 (+11.18 pp), -2.31% in FY2023 (+10.16 pp), -12.48% in FY2022 (+7.57 pp) and -20.04% in FY2021.
- The five-year range for quarterly Return on Capital Employed [ROCE] is -17.66% (Q3 2021) to 10.79% (Q1 2026).
- Year-over-year, Return on Capital Employed [ROCE] has increased for 13 consecutive quarters, with an average year-over-year change of +5.19 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q2 2024 (a gain of 13.17 percentage points), and the weakest in Q4 2022 (a drop of 0.35 percentage points).
- Business Quant data shows DUOL's Return on Capital Employed [ROCE] at 10.79% (Q1 2026), 9.77% (Q4 2025) and 8.62% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 49.47 Bn | 21.72 Bn | 695.95 Mn | 13.55% |
| 3 | Trimble | 27.38 Bn | 26.46 Bn | 659.10 Mn | 11.22% |
| 4 | Samsara | 24.21 Bn | 20.98 Bn | 392.58 Mn | 1.12% |
| 5 | Ptc | 21.76 Bn | 21.76 Bn | 557.39 Mn | - |
| 6 | Toast | 20.03 Bn | 12.67 Bn | 543.00 Mn | 23.08% |
| 7 | Manhattan Associates | 14.95 Bn | 14.01 Bn | 174.30 Mn | 114.12% |
| 8 | Duolingo | 14.72 Bn | 9.64 Bn | 225.13 Mn | 9.61% |
| 9 | Bentley Systems | 13.66 Bn | 13.13 Bn | 349.55 Mn | 15.90% |
| 10 | Costar | 12.20 Bn | 7.61 Bn | 741.00 Mn | 2.23% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 9.61% |
| Jun 30, 2026 | 10.56% |
| Mar 31, 2026 | 10.79% |
| Dec 31, 2025 | 9.77% |
| Sep 30, 2025 | 8.62% |
| Jun 30, 2025 | 8.43% |
| Mar 31, 2025 | 7.77% |
| Dec 31, 2024 | 7.47% |
| Sep 30, 2024 | 6.39% |
| Jun 30, 2024 | 4.48% |
| Mar 31, 2024 | 1.65% |
| Dec 31, 2023 | -2.09% |
| Sep 30, 2023 | -5.86% |
| Jun 30, 2023 | -8.68% |
| Mar 31, 2023 | -10.93% |
| Dec 31, 2022 | -11.88% |
| Sep 30, 2022 | -11.68% |
| Jun 30, 2022 | -13.38% |
| Mar 31, 2022 | -10.88% |
| Dec 31, 2021 | -11.53% |
API Access
Duolingo 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=DUOL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "DUOL", "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=DUOL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();