DoubleDown Interactive (DDI) Operating Expenses (2019 - 2026)
DoubleDown Interactive's Operating Expenses was -$57.78 million in Q2 2026, compared with -$52.4 million a year earlier.
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Analysis
DoubleDown Interactive (DDI) Operating Expenses (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, DoubleDown Interactive's Operating Expenses was -$243.22 million through Jun 30, 2026; for FY2025, it came in at -$232.98 million.
- In earlier years, Operating Expenses was -$204.32 million in FY2024, -$190.26 million in FY2023, $634.9 million in FY2022 (+140.1%) and $264.47 million in FY2021 (-1.9%).
- Quarterly Operating Expenses has moved between -$65.86 million (Q4 2025) and $321.4 million (Q4 2022) over five years.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2022 (growth of 412.5%); the worst was Q3 2023 (a decline of 65.1%).
- Per Business Quant data, DDI's Operating Expenses in the three quarters before Q2 2026 was -$58.72 million (Q1 2026), -$65.86 million (Q4 2025) and -$60.86 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,968.09 Bn | 3,725.62 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,656.13 Bn | 1,358.65 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 276.68 Bn | 236.88 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 237.83 Bn | 51.61 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 219.85 Bn | 197.04 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 137.97 Bn | 109.77 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 124.61 Bn | 57.66 Bn | - | 4.85 Bn |
| 8 | Spotify Technology | 116.58 Bn | 74.09 Bn | 1.86 Bn | 640.46 Mn |
| 9 | PDD Holdings | 110.58 Bn | -133.20 Bn | 9.45 Bn | -5.39 Bn |
| 10 | DoubleDown Interactive | 674.67 Mn | -1.34 Bn | 71.22 Mn | 57.78 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 57.78 Mn |
| Mar 31, 2026 | 58.72 Mn |
| Dec 31, 2025 | 65.86 Mn |
| Sep 30, 2025 | 60.86 Mn |
| Jun 30, 2025 | 52.40 Mn |
| Mar 31, 2025 | 53.86 Mn |
| Dec 31, 2024 | 47.81 Mn |
| Sep 30, 2024 | 47.64 Mn |
| Jun 30, 2024 | 51.88 Mn |
| Mar 31, 2024 | 56.99 Mn |
| Dec 31, 2023 | 47.09 Mn |
| Sep 30, 2023 | 43.30 Mn |
| Jun 30, 2023 | 47.67 Mn |
| Mar 31, 2023 | 52.20 Mn |
| Dec 31, 2022 | 321.40 Mn |
| Sep 30, 2022 | 124.14 Mn |
| Jun 30, 2022 | 128.55 Mn |
| Mar 31, 2022 | 60.80 Mn |
| Dec 31, 2021 | 62.71 Mn |
| Sep 30, 2021 | 59.22 Mn |
API Access
DoubleDown Interactive Operating Expenses 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=operating-expenses&ticker=DDI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=DDI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();