Duolingo (DUOL) EV to EBITDA (2024 - 2026)
Duolingo's EV to EBITDA came in at 54.63 for Q2 2026, down 85.2% from 370.30 a year earlier but up 17.4% from the prior quarter.
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Analysis
Duolingo (DUOL) EV to EBITDA (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Duolingo reported EV to EBITDA of 34.30, down 90.0% year-over-year; for FY2025, it came in at 100.64, down 73.4% from FY2024.
- Going back by year, EV to EBITDA was 378.46 in FY2024.
- The five-year range for quarterly EV to EBITDA is 46.52 (Q1 2026) to 947.34 (Q1 2024).
- Year-over-year, EV to EBITDA has declined for six consecutive quarters, with an average decline of 59.0% over the last six quarters.
- Business Quant data shows DUOL's EV to EBITDA at 46.52 (Q1 2026), 100.64 (Q4 2025) and 237.08 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 54.63 |
| Mar 31, 2026 | 46.52 |
| Dec 31, 2025 | 100.64 |
| Sep 30, 2025 | 237.08 |
| Jun 30, 2025 | 370.30 |
| Mar 31, 2025 | 330.30 |
| Dec 31, 2024 | 378.46 |
| Sep 30, 2024 | 379.94 |
| Jun 30, 2024 | 398.07 |
| Mar 31, 2024 | 947.34 |
API Access
Duolingo EV to EBITDA 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-ebitda&ticker=DUOL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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-ebitda&ticker=DUOL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();