DoubleDown Interactive (DDI) EBITDA (2019 - 2026)
DoubleDown Interactive's EBITDA came in at $38.77 million for Q2 2026, up 16.4% from $33.3 million a year earlier and up 1.7% from the prior quarter.
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Analysis
DoubleDown Interactive (DDI) EBITDA (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, DoubleDown Interactive reported EBITDA of $146.6 million, up 8.2% year-over-year; for FY2025, it was $134.41 million, down 5.5% from FY2024.
- EBITDA carries a five-year compound annual growth rate of 2.2% (FY2020 to FY2025).
- Going back by year, EBITDA was $142.2 million in FY2024 (+16.5%), $122.07 million in FY2023, -$214.35 million in FY2022 and $92.13 million in FY2021 (-23.5%).
- The Q2 2026 figure represents the highest quarterly EBITDA since Q4 2023.
- Year-over-year, EBITDA increased in four of the last eight quarters, with growth averaging 3.9%.
- The fastest year-over-year change in EBITDA over five years came in Q2 2024 (growth of 34.8%), and the weakest in Q1 2022 (a decline of 40.5%).
- Business Quant data shows DDI's EBITDA at $38.11 million (Q1 2026), $32.58 million (Q4 2025) and $37.14 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,126.42 Bn | 3,883.94 Bn | 73.85 Bn | 47.87 Bn |
| 2 | Meta Platforms | 1,763.57 Bn | 1,466.09 Bn | 49.47 Bn | 25.13 Bn |
| 3 | Netflix | 287.17 Bn | 247.37 Bn | 6.52 Bn | 8.60 Bn |
| 4 | Alibaba Group Holding | 252.08 Bn | 65.86 Bn | 15.11 Bn | - |
| 5 | Shopify | 224.54 Bn | 201.72 Bn | 1.71 Bn | 495.00 Mn |
| 6 | Uber Technologies | 140.28 Bn | 112.08 Bn | 6.38 Bn | 2.09 Bn |
| 7 | Booking Holdings | 125.81 Bn | 58.86 Bn | - | 2.63 Bn |
| 8 | PDD Holdings | 114.10 Bn | -129.68 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 108.24 Bn | 65.74 Bn | 1.86 Bn | 795.06 Mn |
| 10 | DoubleDown Interactive | 688.55 Mn | -1.33 Bn | 71.22 Mn | 38.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.77 Mn |
| Mar 31, 2026 | 38.11 Mn |
| Dec 31, 2025 | 32.58 Mn |
| Sep 30, 2025 | 37.14 Mn |
| Jun 30, 2025 | 33.30 Mn |
| Mar 31, 2025 | 30.74 Mn |
| Dec 31, 2024 | 35.25 Mn |
| Sep 30, 2024 | 36.18 Mn |
| Jun 30, 2024 | 37.18 Mn |
| Mar 31, 2024 | 32.72 Mn |
| Dec 31, 2023 | 39.31 Mn |
| Sep 30, 2023 | 29.74 Mn |
| Jun 30, 2023 | 27.57 Mn |
| Mar 31, 2023 | 25.45 Mn |
| Dec 31, 2022 | -245.18 Mn |
| Sep 30, 2022 | -45.29 Mn |
| Jun 30, 2022 | -46.49 Mn |
| Mar 31, 2022 | 26.90 Mn |
| Dec 31, 2021 | 25.80 Mn |
| Sep 30, 2021 | 30.15 Mn |
API Access
DoubleDown Interactive EBITDA 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=ebitda&ticker=DDI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=DDI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();