Duolingo (DUOL) Selling, General & Administrative (2020 - 2026)
Duolingo's Selling, General & Administrative was $50.59 million in Q2 2026, up 10.0% from $45.99 million a year earlier and up 9.2% from the prior quarter.
Duolingo (DUOL) Selling, General & Administrative (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Duolingo's Selling, General & Administrative was $189.39 million through Jun 30, 2026, up 9.2% year-over-year; for FY2025, it was $181.89 million, up 16.6% from FY2024.
- Selling, General & Administrative has now increased for five consecutive years, with a five-year compound annual growth rate of 33.0% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $155.99 million in FY2024 (+18.1%), $132.12 million in FY2023 (+12.1%), $117.85 million in FY2022 (+50.0%) and $78.59 million in FY2021 (+79.8%).
- The Q2 2026 figure marks the highest quarterly Selling, General & Administrative in data going back to Q2 2020.
- Compared with a year earlier, Selling, General & Administrative has increased for 21 straight quarters, with growth averaging 15.8% over the last eight quarters.
- Across the past five years, year-over-year growth in Selling, General & Administrative ran from 2.1% in Q3 2022 to 259.5% in Q3 2021.
- Per Business Quant data, DUOL's Selling, General & Administrative in the three quarters before Q2 2026 was $46.35 million (Q1 2026), $48.49 million (Q4 2025) and $43.96 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 71.31 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 67.38 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 89.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 59.97 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 149.70 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 50.59 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 26.74 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 114.00 Mn |
| 10 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn | 65.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 50.59 Mn |
| Mar 31, 2026 | 46.35 Mn |
| Dec 31, 2025 | 48.49 Mn |
| Sep 30, 2025 | 43.96 Mn |
| Jun 30, 2025 | 45.99 Mn |
| Mar 31, 2025 | 43.45 Mn |
| Dec 31, 2024 | 45.53 Mn |
| Sep 30, 2024 | 38.39 Mn |
| Jun 30, 2024 | 36.96 Mn |
| Mar 31, 2024 | 35.11 Mn |
| Dec 31, 2023 | 36.25 Mn |
| Sep 30, 2023 | 33.40 Mn |
| Jun 30, 2023 | 32.24 Mn |
| Mar 31, 2023 | 30.24 Mn |
| Dec 31, 2022 | 30.71 Mn |
| Sep 30, 2022 | 30.23 Mn |
| Jun 30, 2022 | 30.06 Mn |
| Mar 31, 2022 | 26.86 Mn |
| Dec 31, 2021 | 25.95 Mn |
| Sep 30, 2021 | 29.61 Mn |
Duolingo Selling, General & Administrative 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=selling-general-and-administrative&ticker=DUOL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=DUOL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();