Duolingo (DUOL) Accumulated Expenses (2020 - 2026)
Duolingo (DUOL) reported Accumulated Expenses of $55.43 million for Q2 2026, up 70.8% from $32.45 million a year earlier and up 11.8% from the prior quarter.
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Analysis
Duolingo (DUOL) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Duolingo posted Accumulated Expenses of $45.69 million, up 25.6% from FY2024.
- Accumulated Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 39.5% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $36.38 million in FY2024 (+45.9%), $24.93 million in FY2023 (+13.5%), $21.97 million in FY2022 (+69.9%) and $12.93 million in FY2021 (+49.8%).
- The Q2 2026 figure ranks as the highest quarterly Accumulated Expenses in data going back to Q4 2020.
- Year over year, Accumulated Expenses has now increased in each of the last 17 quarters, with growth averaging 43.7% over the last eight quarters.
- The year-over-year growth in Accumulated Expenses has ranged between 3.7% (Q2 2024) and 81.7% (Q3 2022) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at $49.56 million (Q1 2026), $45.69 million (Q4 2025) and $39.23 million (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 | 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 | 55.43 Mn |
| Mar 31, 2026 | 49.56 Mn |
| Dec 31, 2025 | 45.69 Mn |
| Sep 30, 2025 | 39.23 Mn |
| Jun 30, 2025 | 32.45 Mn |
| Mar 31, 2025 | 30.54 Mn |
| Dec 31, 2024 | 36.38 Mn |
| Sep 30, 2024 | 27.85 Mn |
| Jun 30, 2024 | 22.80 Mn |
| Mar 31, 2024 | 21.42 Mn |
| Dec 31, 2023 | 24.93 Mn |
| Sep 30, 2023 | 23.28 Mn |
| Jun 30, 2023 | 21.99 Mn |
| Mar 31, 2023 | 18.96 Mn |
| Dec 31, 2022 | 21.97 Mn |
| Sep 30, 2022 | 17.18 Mn |
| Jun 30, 2022 | 17.54 Mn |
| Mar 31, 2022 | 14.52 Mn |
| Dec 31, 2021 | 12.93 Mn |
| Sep 30, 2021 | 9.45 Mn |
API Access
Duolingo Accumulated Expenses 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=accumulated-expenses&ticker=DUOL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=DUOL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();