Duolingo (DUOL) Other Non-Current Assets (2020 - 2026)
Duolingo (DUOL) posted Other Non-Current Assets of $10.99 million for Q2 2026, up 26.9% from $8.66 million a year earlier and up 2.9% from the prior quarter.
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Analysis
Duolingo (DUOL) Other Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Duolingo's Other Non-Current Assets came in at $10.08 million, up 268.7% from FY2024.
- Annual Other Non-Current Assets shows a five-year compound annual growth rate of 34.4% (FY2020 to FY2025).
- In prior years, Duolingo's Other Non-Current Assets was $2.74 million in FY2024 (unchanged), $2.74 million in FY2023 (+81.5%), $1.51 million in FY2022 (+68.6%) and $894,000 in FY2021 (-61.1%).
- The Q2 2026 figure stands as the highest quarterly Other Non-Current Assets in data going back to Q4 2020.
- On a year-over-year basis, Other Non-Current Assets has increased in each of the last five quarters, with growth averaging 147.0% over the last eight quarters.
- The strongest year-over-year quarter for Other Non-Current Assets in the past five years was Q1 2026, with growth of 290.5%; the weakest was Q3 2023, with a decline of 82.2%.
- According to Business Quant data, Other Non-Current Assets for the three prior quarters was $10.68 million (Q1 2026), $10.08 million (Q4 2025) and $9.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 52.59 Bn | 24.83 Bn | 695.95 Mn | 88.47 Mn |
| 3 | Samsara | 26.17 Bn | 22.94 Bn | 392.58 Mn | 20.13 Mn |
| 4 | Ptc | 22.24 Bn | 21.06 Bn | 490.47 Mn | 688.18 Mn |
| 5 | Toast | 18.87 Bn | 11.54 Bn | 516.00 Mn | 258.00 Mn |
| 6 | Trimble | 14.85 Bn | 13.91 Bn | 674.90 Mn | 464.50 Mn |
| 7 | Manhattan Associates | 14.04 Bn | 13.03 Bn | 168.33 Mn | 47.68 Mn |
| 8 | Costar | 13.88 Bn | 7.83 Bn | 728.00 Mn | 241.00 Mn |
| 9 | Bentley Systems | 12.39 Bn | 11.85 Bn | 336.74 Mn | 76.56 Mn |
| 10 | Duolingo | 6.74 Bn | 1.91 Bn | 216.74 Mn | 13.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.73 Mn |
| Mar 31, 2026 | 13.42 Mn |
| Dec 31, 2025 | 12.82 Mn |
| Sep 30, 2025 | 12.43 Mn |
| Jun 30, 2025 | 11.40 Mn |
| Mar 31, 2025 | 4.53 Mn |
| Dec 31, 2024 | 4.30 Mn |
| Sep 30, 2024 | 4.39 Mn |
| Jun 30, 2024 | 4.31 Mn |
| Mar 31, 2024 | 4.98 Mn |
| Dec 31, 2023 | 4.45 Mn |
| Sep 30, 2023 | 1.25 Mn |
| Jun 30, 2023 | 1.24 Mn |
| Mar 31, 2023 | 1.37 Mn |
| Dec 31, 2022 | 1.51 Mn |
| Sep 30, 2022 | 8.61 Mn |
| Jun 30, 2022 | 7.62 Mn |
| Mar 31, 2022 | 6.53 Mn |
| Dec 31, 2021 | 894,000.00 |
| Sep 30, 2021 | 5.19 Mn |
API Access
Duolingo Other 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=other-non-current-assets&ticker=DUOL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-assets&ticker=DUOL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();