Duolingo (DUOL) Receivables (2020 - 2026)
Duolingo (DUOL) posted Receivables of $130.98 million for Q2 2026, up 16.0% from $112.92 million a year earlier and up 4.7% from the prior quarter.
Powered by 
Analysis
Duolingo (DUOL) Receivables (2020 - 2026) Analysis & Trends
At the end of FY2025, Duolingo's Receivables came in at $162.83 million, up 26.3% from FY2024.
- Annual Receivables has increased for five consecutive years, with a five-year compound annual growth rate of 51.4% (FY2020 to FY2025).
- In prior years, Duolingo's Receivables was $128.92 million in FY2024 (+44.9%), $88.98 million in FY2023 (+90.4%), $46.73 million in FY2022 (+40.9%) and $33.16 million in FY2021 (+62.2%).
- Quarterly Receivables has run from a low of $20.74 million in Q3 2021 to a high of $162.83 million in Q4 2025 over five years.
- On a year-over-year basis, Receivables has increased in each of the last 17 quarters, with growth averaging 34.5% over the last eight quarters.
- The year-over-year growth in Receivables has ranged between 9.5% (Q1 2026) and 104.4% (Q3 2023) over the last five years.
- According to Business Quant data, Receivables for the three prior quarters was $125.09 million (Q1 2026), $162.83 million (Q4 2025) and $124.49 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 1,105.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 565.65 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 337.79 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 183.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 824.11 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 598.10 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 130.98 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 218.88 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 253.00 Mn |
| 10 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 130.98 Mn |
| Mar 31, 2026 | 125.09 Mn |
| Dec 31, 2025 | 162.83 Mn |
| Sep 30, 2025 | 124.49 Mn |
| Jun 30, 2025 | 112.92 Mn |
| Mar 31, 2025 | 114.18 Mn |
| Dec 31, 2024 | 128.92 Mn |
| Sep 30, 2024 | 94.22 Mn |
| Jun 30, 2024 | 77.72 Mn |
| Mar 31, 2024 | 76.42 Mn |
| Dec 31, 2023 | 88.98 Mn |
| Sep 30, 2023 | 61.71 Mn |
| Jun 30, 2023 | 53.41 Mn |
| Mar 31, 2023 | 52.51 Mn |
| Dec 31, 2022 | 46.73 Mn |
| Sep 30, 2022 | 30.20 Mn |
| Jun 30, 2022 | 28.21 Mn |
| Mar 31, 2022 | 28.57 Mn |
| Dec 31, 2021 | 33.16 Mn |
| Sep 30, 2021 | 20.74 Mn |
API Access
Duolingo Receivables 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=receivables&ticker=DUOL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=DUOL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();