Duolingo (DUOL) Price to Earnings (2023 - 2026)
Duolingo's (DUOL) Price to Earnings stood at 26.19 in Q2 2026, down 91.8% from 318.99 a year earlier but up 19.9% from the prior quarter.
Analysis
Duolingo (DUOL) Price to Earnings (2023 - 2026) Analysis & Trends
For FY2025, Duolingo's Price to Earnings came in at 39.20, down 87.9% from FY2024.
- Across earlier years, Price to Earnings came in at 323.74 in FY2024 (-72.7%) and 1185.67 in FY2023.
- Quarterly Price to Earnings has ranged from 21.85 in Q1 2026 to 1185.67 in Q4 2023 over the past five years.
- On a year-over-year basis, Price to Earnings has declined for four consecutive quarters, with an average decline of 61.6% over the last seven quarters.
- Per Business Quant, the preceding three quarters came in at 21.85 (Q1 2026), 39.20 (Q4 2025) and 76.75 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn |
| 10 | Bentley Systems | 9.73 Bn | 9.19 Bn | 336.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.19 |
| Mar 31, 2026 | 21.85 |
| Dec 31, 2025 | 39.20 |
| Sep 30, 2025 | 76.75 |
| Jun 30, 2025 | 318.99 |
| Mar 31, 2025 | 290.68 |
| Dec 31, 2024 | 323.74 |
| Sep 30, 2024 | 284.84 |
| Jun 30, 2024 | 273.54 |
| Mar 31, 2024 | 415.08 |
| Dec 31, 2023 | 1,185.67 |
API Access
Duolingo Price to Earnings 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=price-to-earnings&ticker=DUOL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=DUOL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();