Duolingo (DUOL) Revenue (2020 - 2026)
Duolingo (DUOL) posted Revenue of $298.5 million for Q2 2026, up 2.22% on a QoQ basis from $292.0 million in Q1 2026, and up 18.31% year-over-year from $252.3 million in Q2 2025.
Duolingo (DUOL) Revenue (2020 - 2026) Analysis & Trends
Duolingo has reported Revenue for 7 years, with the latest figure at $298.5 million in Q2 2026.
- On a quarterly basis, Revenue rose 18.31% year-over-year to $298.5 million in Q2 2026; TTM through Jun 2026 was $1.1 billion, a 29.36% increase from a year earlier, with the FY2025 full-year figure at $1.0 billion, up 38.71% from the prior year.
- Revenue was $298.5 million for Q2 2026 at Duolingo, up from $292.0 million in the prior quarter.
- The five-year high for Revenue was $298.5 million in Q2 2026, with the low at $81.2 million in Q1 2022.
- Average Revenue over 5 years is $182.0 million, with a median of $172.9 million recorded in 2024.
- The sharpest annual moves came in 2022 and 2026: Revenue jumped 51.06% in 2022, then advanced 18.31% in 2026.
- Over 5 years, Revenue stood at $103.8 million in 2022, then jumped by 45.42% to $151.0 million in 2023, then surged by 38.79% to $209.6 million in 2024, then surged by 34.99% to $282.9 million in 2025, then climbed by 5.51% to $298.5 million in 2026.
- The last three Revenue figures came in at $298.5 million (Q2 2026), $292.0 million (Q1 2026), and $282.9 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Veeva Systems | 43.86 Bn | 36.61 Bn | 695.95 Mn | 927.96 Mn |
| 2 | Samsara | 22.87 Bn | 22.04 Bn | 392.58 Mn | 508.44 Mn |
| 3 | Toast | 17.21 Bn | 15.49 Bn | 516.00 Mn | 1.91 Bn |
| 4 | Ptc | 15.54 Bn | 15.19 Bn | 490.47 Mn | 600.05 Mn |
| 5 | Trimble | 13.83 Bn | 13.62 Bn | 674.90 Mn | 972.00 Mn |
| 6 | Duolingo | 13.65 Bn | 12.34 Bn | 216.74 Mn | 298.45 Mn |
| 7 | Manhattan Associates | 12.26 Bn | 12.08 Bn | 168.33 Mn | 297.79 Mn |
| 8 | Costar | 11.45 Bn | 10.20 Bn | 728.00 Mn | 925.00 Mn |
| 9 | Bentley Systems | 9.87 Bn | 9.73 Bn | 336.74 Mn | 410.73 Mn |
| 10 | Procore Technologies | 7.76 Bn | 7.10 Bn | 299.80 Mn | 375.21 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();