DoubleDown Interactive (DDI) Total Non-Current Liabilities (2019 - 2026)
DoubleDown Interactive (DDI) reported Total Non-Current Liabilities of $59.17 million for Q2 2026, up 527.0% from $9.44 million a year earlier and up 137.0% from the prior quarter.
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Analysis
DoubleDown Interactive (DDI) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, DoubleDown Interactive posted Total Non-Current Liabilities of $22.01 million, down 46.0% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -26.1% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $40.75 million in FY2024 (+486.4%), $6.95 million in FY2023 (-93.5%), $106.99 million in FY2022 (+46.2%) and $73.16 million in FY2021 (-26.5%).
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities since Q3 2024.
- Year over year, Total Non-Current Liabilities gained in three of the last eight quarters, with growth averaging 94.1%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2026 (growth of 527.0%); the low point was Q4 2023 (a decline of 93.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $24.96 million (Q1 2026), $22.01 million (Q4 2025) and $22.58 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,071.44 Bn | 3,828.96 Bn | 73.85 Bn | 261.69 Bn |
| 2 | Meta Platforms | 1,777.07 Bn | 1,479.59 Bn | 49.47 Bn | 166.27 Bn |
| 3 | Netflix | 272.74 Bn | 232.94 Bn | 6.52 Bn | 25.59 Bn |
| 4 | Alibaba Group Holding | 242.17 Bn | 55.95 Bn | 15.11 Bn | 122.05 Bn |
| 5 | Shopify | 225.98 Bn | 203.16 Bn | 1.71 Bn | 326.00 Mn |
| 6 | Uber Technologies | 137.80 Bn | 109.60 Bn | 6.38 Bn | 37.14 Bn |
| 7 | Booking Holdings | 121.57 Bn | 54.62 Bn | - | 39.77 Bn |
| 8 | PDD Holdings | 110.14 Bn | -133.64 Bn | 9.45 Bn | 428.00 Mn |
| 9 | Spotify Technology | 107.49 Bn | 64.99 Bn | 1.86 Bn | 6.10 Bn |
| 10 | DoubleDown Interactive | 681.36 Mn | -1.34 Bn | 71.22 Mn | 59.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59.17 Mn |
| Mar 31, 2026 | 24.96 Mn |
| Dec 31, 2025 | 22.01 Mn |
| Sep 30, 2025 | 22.58 Mn |
| Jun 30, 2025 | 9.44 Mn |
| Mar 31, 2025 | 43.94 Mn |
| Dec 31, 2024 | 40.75 Mn |
| Sep 30, 2024 | 61.57 Mn |
| Jun 30, 2024 | 62.40 Mn |
| Mar 31, 2024 | 72.90 Mn |
| Dec 31, 2023 | 6.95 Mn |
| Sep 30, 2023 | 52.95 Mn |
| Jun 30, 2023 | 58.37 Mn |
| Mar 31, 2023 | 115.55 Mn |
| Dec 31, 2022 | 157.56 Mn |
| Sep 30, 2022 | 209.59 Mn |
| Jun 30, 2022 | 115.46 Mn |
| Mar 31, 2022 | 96.70 Mn |
| Dec 31, 2021 | 57.30 Mn |
| Sep 30, 2021 | 95.35 Mn |
API Access
DoubleDown Interactive Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=DDI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=DDI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();