Duolingo (DUOL) Return on Sales [ROS] (2020 - 2026)
Duolingo (DUOL) reported Return on Sales [ROS] of 11.37% for Q2 2026, down 1.85 percentage points from 13.23% a year earlier and down 3.88 percentage points from the prior quarter.
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Analysis
Duolingo (DUOL) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Duolingo's Return on Sales [ROS] came in at 13.72%, up 4.18 percentage points year-over-year; for FY2025, it came in at 13.07%, up 4.70 percentage points from FY2024.
- Return on Sales [ROS] has increased for four consecutive years, with a five-year change of +22.97 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 8.37% in FY2024 (+10.86 pp), -2.50% in FY2023 (+15.15 pp), -17.64% in FY2022 (+6.28 pp) and -23.93% in FY2021 (-14.03 pp).
- The Q2 2026 figure ranks as the lowest quarterly Return on Sales [ROS] since Q1 2025.
- Year over year, Return on Sales [ROS] gained in seven of the last eight quarters, with an average year-over-year change of +4.36 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2022 (a gain of 24.14 percentage points); the low point was Q3 2021 (a drop of 38.36 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 15.25% (Q1 2026), 15.36% (Q4 2025) and 12.94% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 29.64% |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 0.96% |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 7.97% |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 27.75% |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 11.37% |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 13.58% |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 22.24% |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 8.22% |
| 10 | Bentley Systems | 9.73 Bn | 9.19 Bn | 336.74 Mn | 21.57% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.37% |
| Mar 31, 2026 | 15.25% |
| Dec 31, 2025 | 15.36% |
| Sep 30, 2025 | 12.94% |
| Jun 30, 2025 | 13.23% |
| Mar 31, 2025 | 10.23% |
| Dec 31, 2024 | 6.62% |
| Sep 30, 2024 | 7.05% |
| Jun 30, 2024 | 10.49% |
| Mar 31, 2024 | 9.81% |
| Dec 31, 2023 | 3.18% |
| Sep 30, 2023 | -3.39% |
| Jun 30, 2023 | -3.84% |
| Mar 31, 2023 | -7.37% |
| Dec 31, 2022 | -17.48% |
| Sep 30, 2022 | -20.99% |
| Jun 30, 2022 | -17.01% |
| Mar 31, 2022 | -14.59% |
| Dec 31, 2021 | -23.85% |
| Sep 30, 2021 | -45.13% |
API Access
Duolingo Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=DUOL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=DUOL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();