Inspired Entertainment (INSE) Other Operating Expenses (2015 - 2023)
Inspired Entertainment's Other Operating Expenses came in at $23.6 million for Q3 2023, up 4.0% from $22.7 million a year earlier.
Powered by 
Analysis
Inspired Entertainment (INSE) Other Operating Expenses (2015 - 2023) Analysis & Trends
For FY2020, Inspired Entertainment's Other Operating Expenses was $84.8 million.
- Other Operating Expenses carries a five-year compound annual growth rate of 88.8% (FY2015 to FY2020).
- Going back by year, Other Operating Expenses was -$70.4 million in FY2019.
- The Q3 2023 figure represents the highest quarterly Other Operating Expenses in data going back to Q1 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn |
| 10 | Inspired Entertainment | 90.66 Mn | -54.44 Mn | 48.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 23.60 Mn |
| Sep 30, 2022 | 22.70 Mn |
| Jun 30, 2016 | -13.68 Mn |
| Mar 31, 2016 | 281,231.00 |
| Dec 31, 2015 | 724,525.00 |
| Sep 30, 2015 | 715,863.00 |
| Jun 30, 2015 | 1.89 Mn |
| Mar 31, 2015 | 195,089.00 |
API Access
Inspired Entertainment Other 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=other-operating-expenses&ticker=INSE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=INSE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();