Digital Turbine (APPS) Research & Development (2010 - 2025)
Digital Turbine (APPS) reported Research & Development of $9.89 million for fiscal Q3 2026 (quarter ended Dec 31, 2025), down 3.0% from $10.2 million a year earlier and down 9.9% from the prior quarter.
Digital Turbine (APPS) Research & Development (2010 - 2025) Analysis & Trends
Over the twelve months ended Dec 31, 2025, Digital Turbine's Research & Development came in at $40.13 million, down 3.6% year-over-year; for FY2025 (ended Mar 31, 2025), it came in at $39.46 million, down 27.1% from FY2024.
- Research & Development has a five-year compound annual growth rate of 26.8% (FY2020 to FY2025).
- By fiscal year, Research & Development came in at $54.16 million in FY2024 (-4.1%), $56.49 million in FY2023 (+7.1%), $52.72 million in FY2022 (+162.1%) and $20.12 million in FY2021 (+67.4%).
- Five-year quarterly Research & Development spans a low of $6.29 million in fiscal Q4 2021 and a high of $15.8 million in fiscal Q1 2024.
- Year over year, Research & Development gained in 1 of the last eight quarters, with an average decline of 14.2%.
- The high point for year-over-year Research & Development in five years was fiscal Q2 2022 (growth of 230.0%); the low point was fiscal Q2 2025 (a decline of 32.8%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $10.98 million (Q2 2026), $10.15 million (Q1 2026) and $9.11 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 18.22 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 21.66 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 1.01 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | -3.32 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 445.00 Mn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 1.04 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | - |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | -673.00 Mn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 99.90 Mn |
| 10 | Digital Turbine | 1.34 Bn | 1.19 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 9.89 Mn |
| Sep 30, 2025 | 10.98 Mn |
| Jun 30, 2025 | 10.15 Mn |
| Mar 31, 2025 | 9.11 Mn |
| Dec 31, 2024 | 10.20 Mn |
| Sep 30, 2024 | 9.43 Mn |
| Jun 30, 2024 | 10.71 Mn |
| Mar 31, 2024 | 11.28 Mn |
| Dec 31, 2023 | 13.04 Mn |
| Sep 30, 2023 | 14.04 Mn |
| Jun 30, 2023 | 15.80 Mn |
| Mar 31, 2023 | 13.40 Mn |
| Dec 31, 2022 | 14.22 Mn |
| Sep 30, 2022 | 14.74 Mn |
| Jun 30, 2022 | 14.13 Mn |
| Mar 31, 2022 | 12.13 Mn |
| Dec 31, 2021 | 13.76 Mn |
| Sep 30, 2021 | 13.92 Mn |
| Jun 30, 2021 | 12.92 Mn |
| Mar 31, 2021 | 6.29 Mn |
Digital Turbine Research & Development 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=research-and-development&ticker=APPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "APPS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=research-and-development&ticker=APPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();