Duolingo (DUOL) Property, Plant & Equipment (Net) (2020 - 2026)
Duolingo's Property, Plant & Equipment (Net) came in at $42.62 million for Q2 2026, up 116.5% from $19.69 million a year earlier and up 15.3% from the prior quarter.
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Analysis
Duolingo (DUOL) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
At the end of FY2025, Duolingo's Property, Plant & Equipment (Net) was $36.3 million, up 91.6% from FY2024.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of 41.4% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $18.94 million in FY2024 (+60.6%), $11.79 million in FY2023 (-9.1%), $12.97 million in FY2022 (+57.9%) and $8.21 million in FY2021 (+27.7%).
- The Q2 2026 figure represents the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2020.
- Year-over-year, Property, Plant & Equipment (Net) has increased for ten consecutive quarters, with growth averaging 62.8% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q2 2026 (growth of 116.5%), and the weakest in Q4 2023 (a decline of 9.1%).
- Business Quant data shows DUOL's Property, Plant & Equipment (Net) at $36.97 million (Q1 2026), $36.3 million (Q4 2025) and $24.63 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 79.48 Mn |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 88.03 Mn |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 149.00 Mn |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 62.84 Mn |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 42.62 Mn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 183.20 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 24.61 Mn |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 1.44 Bn |
| 10 | Bentley Systems | 9.73 Bn | 9.19 Bn | 336.74 Mn | 42.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.62 Mn |
| Mar 31, 2026 | 36.97 Mn |
| Dec 31, 2025 | 36.30 Mn |
| Sep 30, 2025 | 24.63 Mn |
| Jun 30, 2025 | 19.69 Mn |
| Mar 31, 2025 | 19.16 Mn |
| Dec 31, 2024 | 18.94 Mn |
| Sep 30, 2024 | 19.50 Mn |
| Jun 30, 2024 | 18.34 Mn |
| Mar 31, 2024 | 13.21 Mn |
| Dec 31, 2023 | 11.79 Mn |
| Sep 30, 2023 | 12.01 Mn |
| Jun 30, 2023 | 12.57 Mn |
| Mar 31, 2023 | 12.84 Mn |
| Dec 31, 2022 | 12.97 Mn |
| Sep 30, 2022 | 13.19 Mn |
| Jun 30, 2022 | 13.36 Mn |
| Mar 31, 2022 | 10.25 Mn |
| Dec 31, 2021 | 8.21 Mn |
| Sep 30, 2021 | 8.01 Mn |
API Access
Duolingo Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=DUOL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=DUOL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();