Duolingo (DUOL) Depreciation & Amortization (CF) (2020 - 2026)
Duolingo's Depreciation & Amortization (CF) came in at $4.25 million for Q2 2026, up 23.5% from $3.44 million a year earlier and up 1.3% from the prior quarter.
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Analysis
Duolingo (DUOL) Depreciation & Amortization (CF) (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Duolingo reported Depreciation & Amortization (CF) of $15.8 million, up 16.5% year-over-year; for FY2025, it was $14.39 million, up 32.6% from FY2024.
- Depreciation & Amortization (CF) has increased in each of the last five years, with a five-year compound annual growth rate of 44.9% (FY2020 to FY2025).
- Going back by year, Depreciation & Amortization (CF) was $10.85 million in FY2024 (+53.0%), $7.1 million in FY2023 (+45.7%), $4.87 million in FY2022 (+78.7%) and $2.73 million in FY2021 (+20.8%).
- The Q2 2026 figure represents the highest quarterly Depreciation & Amortization (CF) in data going back to Q2 2020.
- Year-over-year, Depreciation & Amortization (CF) has increased for 21 consecutive quarters, with growth averaging 43.4% over the last eight quarters.
- The year-over-year growth in Depreciation & Amortization (CF) has ranged between 4.0% (Q4 2025) and 127.6% (Q1 2023) over the last five years.
- Business Quant data shows DUOL's Depreciation & Amortization (CF) at $4.19 million (Q1 2026), $3.81 million (Q4 2025) and $3.55 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 10.87 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 8.41 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 12.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 24.19 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 51.10 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 4.25 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 1.63 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 85.00 Mn |
| 10 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn | 16.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.25 Mn |
| Mar 31, 2026 | 4.19 Mn |
| Dec 31, 2025 | 3.81 Mn |
| Sep 30, 2025 | 3.55 Mn |
| Jun 30, 2025 | 3.44 Mn |
| Mar 31, 2025 | 3.59 Mn |
| Dec 31, 2024 | 3.66 Mn |
| Sep 30, 2024 | 2.88 Mn |
| Jun 30, 2024 | 2.24 Mn |
| Mar 31, 2024 | 2.07 Mn |
| Dec 31, 2023 | 2.04 Mn |
| Sep 30, 2023 | 1.66 Mn |
| Jun 30, 2023 | 1.63 Mn |
| Mar 31, 2023 | 1.76 Mn |
| Dec 31, 2022 | 1.44 Mn |
| Sep 30, 2022 | 1.48 Mn |
| Jun 30, 2022 | 1.17 Mn |
| Mar 31, 2022 | 774,000.00 |
| Dec 31, 2021 | 757,000.00 |
| Sep 30, 2021 | 733,000.00 |
API Access
Duolingo Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=DUOL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=DUOL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();