Digital Turbine (APPS) Receivables (2011 - 2026)
Digital Turbine's Receivables came in at $362.14 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 24.5% from $290.84 million a year earlier and up 3.0% from the prior quarter.
Digital Turbine (APPS) Receivables (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Digital Turbine's Receivables was $351.58 million, up 32.1% from FY2025.
- Receivables has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 28.4% (FY2021 to FY2026).
- Going back by fiscal year, Receivables was $266.21 million in FY2025 (+4.3%), $255.13 million in FY2024 (+11.1%), $229.66 million in FY2023 (-33.5%) and $345.46 million in FY2022 (+242.6%).
- The fiscal Q1 2027 figure represents the highest quarterly Receivables since fiscal Q3 2022.
- Year-over-year, Receivables has increased for six consecutive quarters, with growth averaging 14.0% over the last eight quarters.
- The fastest year-over-year change in Receivables over five years came in fiscal Q2 2022 (growth of 324.2%), and the weakest in fiscal Q4 2023 (a decline of 33.5%).
- Business Quant data shows APPS's Receivables at $351.58 million (Q4 2026), $356.68 million (Q3 2026) and $298.22 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,505.75 Bn | 3,240.65 Bn | 76.16 Bn | 72.78 Bn |
| 2 | Meta Platforms | 1,636.37 Bn | 1,300.89 Bn | 51.23 Bn | 22.72 Bn |
| 3 | Netflix | 264.79 Bn | 226.09 Bn | 6.80 Bn | - |
| 4 | Alibaba Group Holding | 244.49 Bn | 58.13 Bn | 15.16 Bn | - |
| 5 | Shopify | 196.00 Bn | 174.81 Bn | 1.78 Bn | 483.00 Mn |
| 6 | Uber Technologies | 145.16 Bn | 115.98 Bn | 6.42 Bn | 4.43 Bn |
| 7 | AppLovin | 136.87 Bn | 125.40 Bn | 1.94 Bn | 2.39 Bn |
| 8 | Spotify Technology | 125.04 Bn | 81.96 Bn | 1.89 Bn | 926.55 Mn |
| 9 | Booking Holdings | 122.68 Bn | 56.42 Bn | - | 4.32 Bn |
| 10 | Digital Turbine | 1.37 Bn | 1.21 Bn | 94.94 Mn | 362.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 362.14 Mn |
| Mar 31, 2026 | 351.58 Mn |
| Dec 31, 2025 | 356.68 Mn |
| Sep 30, 2025 | 298.22 Mn |
| Jun 30, 2025 | 290.84 Mn |
| Mar 31, 2025 | 266.21 Mn |
| Dec 31, 2024 | 287.62 Mn |
| Sep 30, 2024 | 261.97 Mn |
| Jun 30, 2024 | 270.67 Mn |
| Mar 31, 2024 | 255.13 Mn |
| Dec 31, 2023 | 302.53 Mn |
| Sep 30, 2023 | 235.88 Mn |
| Jun 30, 2023 | 252.53 Mn |
| Mar 31, 2023 | 229.66 Mn |
| Dec 31, 2022 | 291.43 Mn |
| Sep 30, 2022 | 341.66 Mn |
| Jun 30, 2022 | 341.75 Mn |
| Mar 31, 2022 | 345.46 Mn |
| Dec 31, 2021 | 388.23 Mn |
| Sep 30, 2021 | 304.80 Mn |
Digital Turbine Receivables 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=receivables&ticker=APPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=APPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();