Duolingo (DUOL) Revenue (2020 - 2026)
Duolingo (DUOL) recorded Revenue of $298.45 million in Q2 2026, up 18.3% from $252.27 million a year earlier and up 2.2% from the prior quarter.
Duolingo (DUOL) Revenue (2020 - 2026) Analysis & Trends
On a TTM basis, Duolingo's Revenue came in at $1.15 billion as of Jun 30, 2026, up 29.4% year-over-year; for FY2025, it was $1.04 billion, up 38.7% from FY2024.
- Annual Revenue has increased for five straight years, with a five-year compound annual growth rate of 45.0% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $748.02 million in FY2024 (+40.8%), $531.11 million in FY2023 (+43.7%), $369.5 million in FY2022 (+47.3%) and $250.77 million in FY2021 (+55.1%).
- The Q2 2026 figure is the highest quarterly Revenue in data going back to Q2 2020.
- On a year-over-year basis, Revenue has increased for 21 consecutive quarters, with growth averaging 34.9% over the last eight quarters.
- The year-over-year growth in Revenue has ranged between 18.3% (Q2 2026) and 51.3% (Q4 2021) over the last five years.
- Per Business Quant, the preceding three quarters came in at $291.97 million (Q1 2026), $282.87 million (Q4 2025) and $271.71 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 927.96 Mn |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 508.44 Mn |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 1.91 Bn |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 600.05 Mn |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 298.45 Mn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 972.00 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 297.79 Mn |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 925.00 Mn |
| 10 | Bentley Systems | 9.73 Bn | 9.19 Bn | 336.74 Mn | 410.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 298.45 Mn |
| Mar 31, 2026 | 291.97 Mn |
| Dec 31, 2025 | 282.87 Mn |
| Sep 30, 2025 | 271.71 Mn |
| Jun 30, 2025 | 252.27 Mn |
| Mar 31, 2025 | 230.74 Mn |
| Dec 31, 2024 | 209.55 Mn |
| Sep 30, 2024 | 192.59 Mn |
| Jun 30, 2024 | 178.33 Mn |
| Mar 31, 2024 | 167.55 Mn |
| Dec 31, 2023 | 150.99 Mn |
| Sep 30, 2023 | 137.62 Mn |
| Jun 30, 2023 | 126.84 Mn |
| Mar 31, 2023 | 115.66 Mn |
| Dec 31, 2022 | 103.82 Mn |
| Sep 30, 2022 | 96.07 Mn |
| Jun 30, 2022 | 88.39 Mn |
| Mar 31, 2022 | 81.22 Mn |
| Dec 31, 2021 | 73.01 Mn |
| Sep 30, 2021 | 63.60 Mn |
Duolingo Revenue 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=revenue&ticker=DUOL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=DUOL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();