Duolingo (DUOL) EV to EBIT (2024 - 2026)
Duolingo's EV to EBIT was 60.12 in Q2 2026, down 86.0% from 429.82 a year earlier but up 17.9% from the prior quarter.
Duolingo (DUOL) EV to EBIT (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Duolingo's EV to EBIT was 37.75 through Jun 30, 2026, down 90.5% year-over-year; for FY2025, it was 111.33, down 74.9% from FY2024.
- In earlier years, EV to EBIT was 444.08 in FY2024.
- Quarterly EV to EBIT has moved between 50.98 (Q1 2026) and 1547.13 (Q1 2024) over five years.
- Compared with a year earlier, EV to EBIT has declined for six straight quarters, with an average decline of 62.4% over the last six quarters.
- Per Business Quant data, DUOL's EV to EBIT in the three quarters before Q2 2026 was 50.98 (Q1 2026), 111.33 (Q4 2025) and 268.94 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn |
| 10 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 60.12 |
| Mar 31, 2026 | 50.98 |
| Dec 31, 2025 | 111.33 |
| Sep 30, 2025 | 268.94 |
| Jun 30, 2025 | 429.82 |
| Mar 31, 2025 | 388.88 |
| Dec 31, 2024 | 444.08 |
| Sep 30, 2024 | 445.51 |
| Jun 30, 2024 | 488.56 |
| Mar 31, 2024 | 1,547.13 |
Duolingo EV to EBIT 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=ev-to-ebit&ticker=DUOL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebit", "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=ev-to-ebit&ticker=DUOL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();