Duolingo (DUOL) Net Income towards Common Stockholders (2020 - 2026)
Duolingo (DUOL) recorded Net Income towards Common Stockholders of $33.16 million in Q2 2026, down 26.0% from $44.78 million a year earlier and down 23.7% from the prior quarter.
Duolingo (DUOL) Net Income towards Common Stockholders (2020 - 2026) Analysis & Trends
On a TTM basis, Duolingo's Net Income towards Common Stockholders came in at $410.77 million as of Jun 30, 2026, up 250.5% year-over-year; for FY2025, it came in at $414.07 million, up 367.5% from FY2024.
- Across earlier years, Net Income towards Common Stockholders came in at $88.57 million in FY2024 (+451.3%), $16.07 million in FY2023, -$59.57 million in FY2022 and -$60.14 million in FY2021.
- The Q2 2026 figure is the lowest quarterly Net Income towards Common Stockholders since Q4 2024.
- On a year-over-year basis, Net Income towards Common Stockholders rose in six of the last seven quarters, with growth averaging 151.5%.
- Peak year-over-year performance for Net Income towards Common Stockholders in the last five years was growth of 732.2% in Q3 2024, against a decline of 26.0% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $43.46 million (Q1 2026), $41.95 million (Q4 2025) and $292.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | -178,646.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 273.43 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 16.24 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 154.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 118.78 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | -471.70 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 33.16 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 50.35 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 55.00 Mn |
| 10 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn | 78.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.16 Mn |
| Mar 31, 2026 | 43.46 Mn |
| Dec 31, 2025 | 41.95 Mn |
| Sep 30, 2025 | 292.20 Mn |
| Jun 30, 2025 | 44.78 Mn |
| Mar 31, 2025 | 35.14 Mn |
| Dec 31, 2024 | 13.91 Mn |
| Sep 30, 2024 | 23.36 Mn |
| Jun 30, 2024 | 24.35 Mn |
| Mar 31, 2024 | 26.96 Mn |
| Dec 31, 2023 | 12.12 Mn |
| Sep 30, 2023 | 2.81 Mn |
| Jun 30, 2023 | 3.73 Mn |
| Mar 31, 2023 | -2.58 Mn |
| Dec 31, 2022 | -13.93 Mn |
| Sep 30, 2022 | -18.45 Mn |
| Jun 30, 2022 | -15.05 Mn |
| Mar 31, 2022 | -12.15 Mn |
| Dec 31, 2021 | -17.52 Mn |
| Sep 30, 2021 | -28.97 Mn |
Duolingo Net Income towards Common Stockholders 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=net-income-towards-common-stockholders&ticker=DUOL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income-towards-common-stockholders", "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=net-income-towards-common-stockholders&ticker=DUOL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();