Duolingo (DUOL) Non-Current Assets (2020 - 2026)
Duolingo (DUOL) reported Non-Current Assets of $502.84 million for Q2 2026, up 130.1% from $218.57 million a year earlier but down 8.9% from the prior quarter.
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Analysis
Duolingo (DUOL) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Duolingo posted Non-Current Assets of $555.58 million, up 177.6% from FY2024.
- Non-Current Assets has increased for five consecutive years, with a five-year compound annual growth rate of 100.0% (FY2020 to FY2025).
- By year, Non-Current Assets came in at $200.14 million in FY2024 (+256.4%), $56.16 million in FY2023 (+12.0%), $50.16 million in FY2022 (+19.3%) and $42.04 million in FY2021 (+142.2%).
- Five-year quarterly Non-Current Assets spans a low of $21.43 million in Q3 2021 and a high of $555.58 million in Q4 2025.
- Year over year, Non-Current Assets has now increased in each of the last 17 quarters, with growth averaging 177.9% over the last eight quarters.
- Over the past five years, the year-over-year growth in Non-Current Assets ranged from 8.6% (Q2 2023) to 256.4% (Q4 2024).
- Per Business Quant data, the three quarters before Q2 2026 came in at $552.04 million (Q1 2026), $555.58 million (Q4 2025) and $518.53 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.11 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.20 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 531.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 5.14 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 7.20 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 502.84 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 231.59 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 8.49 Bn |
| 10 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn | 3.00 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 502.84 Mn |
| Mar 31, 2026 | 552.04 Mn |
| Dec 31, 2025 | 555.58 Mn |
| Sep 30, 2025 | 518.53 Mn |
| Jun 30, 2025 | 218.57 Mn |
| Mar 31, 2025 | 183.49 Mn |
| Dec 31, 2024 | 200.14 Mn |
| Sep 30, 2024 | 161.11 Mn |
| Jun 30, 2024 | 97.88 Mn |
| Mar 31, 2024 | 91.39 Mn |
| Dec 31, 2023 | 56.16 Mn |
| Sep 30, 2023 | 51.61 Mn |
| Jun 30, 2023 | 49.86 Mn |
| Mar 31, 2023 | 49.15 Mn |
| Dec 31, 2022 | 50.16 Mn |
| Sep 30, 2022 | 45.37 Mn |
| Jun 30, 2022 | 45.90 Mn |
| Mar 31, 2022 | 43.88 Mn |
| Dec 31, 2021 | 42.04 Mn |
| Sep 30, 2021 | 21.43 Mn |
API Access
Duolingo Non-Current Assets 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=non-current-assets&ticker=DUOL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=DUOL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();