Duolingo (DUOL) Cash & Equivalents (2020 - 2026)
Duolingo's Cash & Equivalents was $1.18 billion in Q2 2026, up 21.0% from $976.23 million a year earlier and up 3.7% from the prior quarter.
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Analysis
Duolingo (DUOL) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Duolingo came in at $1.04 billion, up 31.9% from FY2024.
- Cash & Equivalents has now increased for five consecutive years, with a five-year compound annual growth rate of 53.8% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $785.79 million in FY2024 (+5.1%), $747.61 million in FY2023 (+22.9%), $608.18 million in FY2022 (+9.8%) and $553.92 million in FY2021 (+359.7%).
- The Q2 2026 figure marks the highest quarterly Cash & Equivalents in data going back to Q4 2020.
- Compared with a year earlier, Cash & Equivalents has increased for 17 straight quarters, with growth averaging 17.9% over the last eight quarters.
- Over the past five years, the year-over-year growth in Cash & Equivalents ranged from 5.1% (Q4 2024) to 415.7% (Q2 2022).
- Per Business Quant data, DUOL's Cash & Equivalents in the three quarters before Q2 2026 was $1.14 billion (Q1 2026), $1.04 billion (Q4 2025) and $1.01 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.81 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 291.39 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.02 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 351.45 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 214.40 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 1.18 Bn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 186.11 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 1.27 Bn |
| 10 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn | 146.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.18 Bn |
| Mar 31, 2026 | 1.14 Bn |
| Dec 31, 2025 | 1.04 Bn |
| Sep 30, 2025 | 1.01 Bn |
| Jun 30, 2025 | 976.23 Mn |
| Mar 31, 2025 | 884.00 Mn |
| Dec 31, 2024 | 785.79 Mn |
| Sep 30, 2024 | 854.41 Mn |
| Jun 30, 2024 | 888.24 Mn |
| Mar 31, 2024 | 829.71 Mn |
| Dec 31, 2023 | 747.61 Mn |
| Sep 30, 2023 | 701.74 Mn |
| Jun 30, 2023 | 678.67 Mn |
| Mar 31, 2023 | 641.09 Mn |
| Dec 31, 2022 | 608.18 Mn |
| Sep 30, 2022 | 599.97 Mn |
| Jun 30, 2022 | 591.16 Mn |
| Mar 31, 2022 | 577.33 Mn |
| Dec 31, 2021 | 553.92 Mn |
| Sep 30, 2021 | 549.44 Mn |
API Access
Duolingo Cash & Equivalents 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=cash-and-equivalents&ticker=DUOL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=DUOL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();