Duolingo (DUOL) Change in Cash (2020 - 2026)
Duolingo (DUOL) posted Change in Cash of $42.33 million for Q2 2026, down 54.1% from $92.24 million a year earlier and down 58.6% from the prior quarter.
Duolingo (DUOL) Change in Cash (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Cash at Duolingo was $204.66 million, up 132.6% year-over-year; for FY2025, it was $250.6 million, up 556.3% from FY2024.
- Annual Change in Cash shows a five-year compound annual growth rate of 32.8% (FY2020 to FY2025).
- In prior years, Duolingo's Change in Cash was $38.18 million in FY2024 (-73.1%), $142.17 million in FY2023 (+162.0%), $54.26 million in FY2022 (-87.5%) and $433.43 million in FY2021 (+614.7%).
- Quarterly Change in Cash has run from a low of -$68.62 million in Q4 2024 to a high of $434.8 million in Q3 2021 over five years.
- On a year-over-year basis, Change in Cash increased in three of the last four quarters, with growth averaging 6.8%.
- The strongest year-over-year quarter for Change in Cash in the past five years was Q4 2023, with growth of 491.8%; the weakest was Q3 2022, with a decline of 98.0%.
- According to Business Quant data, Change in Cash for the three prior quarters was $102.17 million (Q1 2026), $24.85 million (Q4 2025) and $35.31 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Cash (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | -84.44 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 72.29 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 | -87.66 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | -19.70 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 42.33 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | -40.02 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | -50.00 Mn |
| 10 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn | 41.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.33 Mn |
| Mar 31, 2026 | 102.17 Mn |
| Dec 31, 2025 | 24.85 Mn |
| Sep 30, 2025 | 35.31 Mn |
| Jun 30, 2025 | 92.24 Mn |
| Mar 31, 2025 | 98.21 Mn |
| Dec 31, 2024 | -68.62 Mn |
| Sep 30, 2024 | -33.83 Mn |
| Jun 30, 2024 | 58.53 Mn |
| Mar 31, 2024 | 82.10 Mn |
| Dec 31, 2023 | 48.61 Mn |
| Sep 30, 2023 | 23.07 Mn |
| Jun 30, 2023 | 37.57 Mn |
| Mar 31, 2023 | 32.91 Mn |
| Dec 31, 2022 | 8.21 Mn |
| Sep 30, 2022 | 8.81 Mn |
| Jun 30, 2022 | 13.83 Mn |
| Mar 31, 2022 | 23.41 Mn |
| Dec 31, 2021 | 4.48 Mn |
| Sep 30, 2021 | 434.80 Mn |
Duolingo Change in Cash 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=change-in-cash&ticker=DUOL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-cash", "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=change-in-cash&ticker=DUOL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();