Digital Turbine (APPS) Research & Development (2010 - 2026)
Digital Turbine (APPS) reported Research & Development of $10.59 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 4.4% from $10.15 million a year earlier and up 12.0% from the prior quarter.
Digital Turbine (APPS) Research & Development (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Digital Turbine's Research & Development came in at $40.92 million, up 5.2% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $40.48 million, up 2.6% from FY2025.
- Research & Development has a five-year compound annual growth rate of 15.0% (FY2021 to FY2026).
- By fiscal year, Research & Development came in at $39.46 million in FY2025 (-27.1%), $54.16 million in FY2024 (-4.1%), $56.49 million in FY2023 (+7.1%) and $52.72 million in FY2022 (+162.1%).
- Five-year quarterly Research & Development spans a low of $9.11 million in fiscal Q4 2025 and a high of $15.8 million in fiscal Q1 2024.
- Year over year, Research & Development gained in three of the last eight quarters, with an average decline of 7.2%.
- 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 Q1 2027 came in at $9.46 million (Q4 2026), $9.89 million (Q3 2026) and $10.98 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,505.75 Bn | 3,240.65 Bn | 76.16 Bn | 20.64 Bn |
| 2 | Meta Platforms | 1,636.37 Bn | 1,300.89 Bn | 51.23 Bn | 20.05 Bn |
| 3 | Netflix | 264.79 Bn | 226.09 Bn | 6.80 Bn | 1.03 Bn |
| 4 | Alibaba Group Holding | 244.49 Bn | 58.13 Bn | 15.16 Bn | 3.32 Bn |
| 5 | Shopify | 196.00 Bn | 174.81 Bn | 1.78 Bn | 497.00 Mn |
| 6 | Uber Technologies | 145.16 Bn | 115.98 Bn | 6.42 Bn | 1.27 Bn |
| 7 | AppLovin | 136.87 Bn | 125.40 Bn | 1.94 Bn | 101.82 Mn |
| 8 | Spotify Technology | 125.04 Bn | 81.96 Bn | 1.89 Bn | 479.73 Mn |
| 9 | Booking Holdings | 122.68 Bn | 56.42 Bn | - | - |
| 10 | Digital Turbine | 1.37 Bn | 1.21 Bn | 94.94 Mn | 10.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.59 Mn |
| Mar 31, 2026 | 9.46 Mn |
| 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 |
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();