Duolingo (DUOL) Research & Development (2020 - 2026)
Duolingo (DUOL) recorded Research & Development of $92.2 million in Q2 2026, up 25.1% from $73.67 million a year earlier and up 11.1% from the prior quarter.
Duolingo (DUOL) Research & Development (2020 - 2026) Analysis & Trends
On a TTM basis, Duolingo's Research & Development came in at $337.43 million as of Jun 30, 2026, up 23.5% year-over-year; for FY2025, it came in at $306.32 million, up 30.2% from FY2024.
- Annual Research & Development has increased for five straight years, with a five-year compound annual growth rate of 42.0% (FY2020 to FY2025).
- Across earlier years, Research & Development came in at $235.3 million in FY2024 (+21.1%), $194.35 million in FY2023 (+29.2%), $150.44 million in FY2022 (+44.9%) and $103.83 million in FY2021 (+95.8%).
- The Q2 2026 figure is the highest quarterly Research & Development in data going back to Q2 2020.
- On a year-over-year basis, Research & Development has increased for 21 consecutive quarters, with growth averaging 27.9% over the last eight quarters.
- Across the past five years, year-over-year growth in Research & Development ran from 11.0% in Q1 2024 to 94.4% in Q4 2021.
- Per Business Quant, the preceding three quarters came in at $82.97 million (Q1 2026), $79.56 million (Q4 2025) and $82.71 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 222.92 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 102.56 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 109.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 115.71 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 177.10 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 92.20 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 34.77 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 107.00 Mn |
| 10 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn | 82.09 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 92.20 Mn |
| Mar 31, 2026 | 82.97 Mn |
| Dec 31, 2025 | 79.56 Mn |
| Sep 30, 2025 | 82.71 Mn |
| Jun 30, 2025 | 73.67 Mn |
| Mar 31, 2025 | 70.39 Mn |
| Dec 31, 2024 | 66.40 Mn |
| Sep 30, 2024 | 62.88 Mn |
| Jun 30, 2024 | 55.15 Mn |
| Mar 31, 2024 | 50.88 Mn |
| Dec 31, 2023 | 50.26 Mn |
| Sep 30, 2023 | 50.31 Mn |
| Jun 30, 2023 | 47.95 Mn |
| Mar 31, 2023 | 45.84 Mn |
| Dec 31, 2022 | 44.47 Mn |
| Sep 30, 2022 | 41.98 Mn |
| Jun 30, 2022 | 34.22 Mn |
| Mar 31, 2022 | 29.78 Mn |
| Dec 31, 2021 | 30.02 Mn |
| Sep 30, 2021 | 29.35 Mn |
Duolingo Research & Development 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=research-and-development&ticker=DUOL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=DUOL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();