DoubleDown Interactive (DDI) Receivables (2019 - 2026)
DoubleDown Interactive (DDI) posted Receivables of $39.12 million for Q2 2026, up 29.1% from $30.3 million a year earlier and up 38.7% from the prior quarter.
DoubleDown Interactive (DDI) Receivables (2019 - 2026) Analysis & Trends
At the end of FY2025, DoubleDown Interactive's Receivables came in at $32.02 million, up 4.0% from FY2024.
- Annual Receivables shows a five-year compound annual growth rate of 6.6% (FY2020 to FY2025).
- In prior years, DoubleDown Interactive's Receivables was $30.78 million in FY2024 (-5.3%), $32.52 million in FY2023 (+53.4%), $21.2 million in FY2022 (-3.1%) and $21.88 million in FY2021 (-6.1%).
- The Q2 2026 figure stands as the highest quarterly Receivables in data going back to Q4 2019.
- On a year-over-year basis, Receivables increased in four of the last eight quarters, with growth averaging 2.6%.
- The strongest year-over-year quarter for Receivables in the past five years was Q4 2023, with growth of 53.4%; the weakest was Q1 2022, with a decline of 40.2%.
- According to Business Quant data, Receivables for the three prior quarters was $28.19 million (Q1 2026), $32.02 million (Q4 2025) and $34.13 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,068.15 Bn | 3,825.68 Bn | 73.85 Bn | 69.18 Bn |
| 2 | Meta Platforms | 1,797.57 Bn | 1,500.09 Bn | 49.47 Bn | 21.75 Bn |
| 3 | Netflix | 274.90 Bn | 235.10 Bn | 6.52 Bn | - |
| 4 | Alibaba Group Holding | 242.54 Bn | 56.32 Bn | 15.11 Bn | - |
| 5 | Shopify | 228.49 Bn | 205.67 Bn | 1.71 Bn | 466.00 Mn |
| 6 | Uber Technologies | 138.82 Bn | 110.61 Bn | 6.38 Bn | 4.30 Bn |
| 7 | Booking Holdings | 122.18 Bn | 55.23 Bn | - | 4.34 Bn |
| 8 | PDD Holdings | 110.25 Bn | -133.52 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 107.65 Bn | 65.15 Bn | 1.86 Bn | 890.92 Mn |
| 10 | DoubleDown Interactive | 684.83 Mn | -1.33 Bn | 71.22 Mn | 39.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.12 Mn |
| Mar 31, 2026 | 28.19 Mn |
| Dec 31, 2025 | 32.02 Mn |
| Sep 30, 2025 | 34.13 Mn |
| Jun 30, 2025 | 30.30 Mn |
| Mar 31, 2025 | 29.53 Mn |
| Dec 31, 2024 | 30.78 Mn |
| Sep 30, 2024 | 33.38 Mn |
| Jun 30, 2024 | 34.00 Mn |
| Mar 31, 2024 | 34.18 Mn |
| Dec 31, 2023 | 32.52 Mn |
| Sep 30, 2023 | 27.83 Mn |
| Jun 30, 2023 | 26.84 Mn |
| Mar 31, 2023 | 28.49 Mn |
| Dec 31, 2022 | 21.20 Mn |
| Sep 30, 2022 | 19.92 Mn |
| Jun 30, 2022 | 19.75 Mn |
| Mar 31, 2022 | 20.86 Mn |
| Dec 31, 2021 | 21.88 Mn |
| Sep 30, 2021 | 20.25 Mn |
DoubleDown Interactive 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=DDI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "DDI", "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=DDI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();