DoubleDown Interactive (DDI) Cash & Equivalents (2019 - 2026)
DoubleDown Interactive's Cash & Equivalents came in at $455.22 million for Q2 2026, up 20.6% from $377.42 million a year earlier and up 5.2% from the prior quarter.
DoubleDown Interactive (DDI) Cash & Equivalents (2019 - 2026) Analysis & Trends
At the end of FY2025, DoubleDown Interactive's Cash & Equivalents was $388.89 million, up 16.1% from FY2024.
- Cash & Equivalents has increased in each of the last three years, with a five-year compound annual growth rate of 43.8% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $334.85 million in FY2024 (+54.1%), $217.35 million in FY2023 (+43.9%), $151.07 million in FY2022 (-17.0%) and $181.93 million in FY2021 (+187.9%).
- The Q2 2026 figure represents the highest quarterly Cash & Equivalents in data going back to Q2 2019.
- Year-over-year, Cash & Equivalents has increased for nine consecutive quarters, with growth averaging 34.4% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q3 2021 (growth of 757.5%), and the weakest in Q3 2023 (a decline of 24.7%).
- Business Quant data shows DDI's Cash & Equivalents at $432.85 million (Q1 2026), $388.89 million (Q4 2025) and $348.34 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,939.60 Bn | 3,697.12 Bn | 73.85 Bn | 55.91 Bn |
| 2 | Meta Platforms | 1,653.27 Bn | 1,355.79 Bn | 49.47 Bn | 15.46 Bn |
| 3 | Netflix | 275.33 Bn | 236.63 Bn | 6.80 Bn | 8.19 Bn |
| 4 | Alibaba Group Holding | 236.23 Bn | 58.44 Bn | 15.11 Bn | 21.06 Bn |
| 5 | Shopify | 218.65 Bn | 195.83 Bn | 1.71 Bn | 1.66 Bn |
| 6 | Uber Technologies | 140.84 Bn | 112.82 Bn | 6.38 Bn | 4.87 Bn |
| 7 | Booking Holdings | 121.05 Bn | 54.10 Bn | - | 17.21 Bn |
| 8 | Spotify Technology | 120.09 Bn | 77.01 Bn | 1.89 Bn | 6.84 Bn |
| 9 | PDD Holdings | 112.69 Bn | -131.09 Bn | 9.45 Bn | 19.00 Bn |
| 10 | DoubleDown Interactive | 661.04 Mn | -1.36 Bn | 71.22 Mn | 455.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 455.22 Mn |
| Mar 31, 2026 | 432.85 Mn |
| Dec 31, 2025 | 388.89 Mn |
| Sep 30, 2025 | 348.34 Mn |
| Jun 30, 2025 | 377.42 Mn |
| Mar 31, 2025 | 365.66 Mn |
| Dec 31, 2024 | 334.85 Mn |
| Sep 30, 2024 | 292.65 Mn |
| Jun 30, 2024 | 269.16 Mn |
| Mar 31, 2024 | 209.86 Mn |
| Dec 31, 2023 | 206.91 Mn |
| Sep 30, 2023 | 233.94 Mn |
| Jun 30, 2023 | 184.47 Mn |
| Mar 31, 2023 | 250.94 Mn |
| Dec 31, 2022 | 217.35 Mn |
| Sep 30, 2022 | 310.47 Mn |
| Jun 30, 2022 | 192.91 Mn |
| Mar 31, 2022 | 174.92 Mn |
| Dec 31, 2021 | 242.06 Mn |
| Sep 30, 2021 | 223.06 Mn |
DoubleDown Interactive Cash & Equivalents 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=cash-and-equivalents&ticker=DDI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=DDI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();