Inspired Entertainment (INSE) Total Liabilities (2014 - 2026)
Inspired Entertainment's Total Liabilities was $408.5 million in Q2 2026, down 5.8% from the prior quarter.
Analysis
Inspired Entertainment (INSE) Total Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Inspired Entertainment came in at $456.1 million, up 3.3% from FY2024.
- Total Liabilities has now increased for three consecutive years, with a five-year compound annual growth rate of 0.1% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $441.7 million in FY2024 (+5.4%), $418.9 million in FY2023 (+12.4%), $372.8 million in FY2022 (-10.2%) and $415.2 million in FY2021 (-8.3%).
- The Q2 2026 figure marks the lowest quarterly Total Liabilities since Q2 2024.
- Compared with a year earlier, Total Liabilities was higher in five of the last six quarters, with growth averaging 7.4%.
- The best year-over-year quarter for Total Liabilities over five years was Q3 2024 (growth of 23.8%); the worst was Q3 2022 (a decline of 15.2%).
- Per Business Quant data, INSE's Total Liabilities in the three quarters before Q2 2026 was $433.6 million (Q1 2026), $456.1 million (Q4 2025) and $494.8 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 281.50 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 188.74 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 28.30 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 125.68 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.79 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 37.58 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 40.47 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 31.67 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 5.11 Bn |
| 10 | Inspired Entertainment | 105.16 Mn | -39.94 Mn | 48.60 Mn | 408.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 408.50 Mn |
| Mar 31, 2026 | 433.60 Mn |
| Dec 31, 2025 | 456.10 Mn |
| Sep 30, 2025 | 494.80 Mn |
| Mar 31, 2025 | 461.10 Mn |
| Dec 31, 2024 | 441.70 Mn |
| Sep 30, 2024 | 466.80 Mn |
| Jun 30, 2024 | 403.70 Mn |
| Mar 31, 2024 | 411.40 Mn |
| Dec 31, 2023 | 418.90 Mn |
| Sep 30, 2023 | 377.20 Mn |
| Jun 30, 2023 | 412.00 Mn |
| Mar 31, 2023 | 378.20 Mn |
| Dec 31, 2022 | 372.80 Mn |
| Sep 30, 2022 | 360.20 Mn |
| Jun 30, 2022 | 388.90 Mn |
| Mar 31, 2022 | 432.90 Mn |
| Dec 31, 2021 | 415.20 Mn |
| Sep 30, 2021 | 424.70 Mn |
| Jun 30, 2021 | 437.90 Mn |
API Access
Inspired Entertainment Total 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-liabilities&ticker=INSE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "INSE", "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-liabilities&ticker=INSE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();