Inspired Entertainment (INSE) Selling, General & Administrative (2016 - 2026)
Inspired Entertainment (INSE) reported Selling, General & Administrative of $24.2 million for Q2 2026, down 24.1% from $31.9 million a year earlier and down 0.4% from the prior quarter.
Inspired Entertainment (INSE) Selling, General & Administrative (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Inspired Entertainment's Selling, General & Administrative came in at $114.4 million, down 10.6% year-over-year; for FY2025, it was $128.1 million, down 2.1% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 12.1% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $130.8 million in FY2024 (+13.0%), $115.8 million in FY2023 (+12.8%), $102.7 million in FY2022 (+13.7%) and $90.3 million in FY2021 (+24.7%).
- The Q2 2026 figure ranks as the lowest quarterly Selling, General & Administrative since Q2 2024.
- Year over year, Selling, General & Administrative has now declined in each of the last three quarters, with an average decline of 4.9% over the last seven quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q4 2022 (growth of 110.3%); the low point was Q2 2024 (a decline of 94.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $24.3 million (Q1 2026), $34.2 million (Q4 2025) and $31.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 6.46 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 5.61 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | 498.85 Mn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | -1.87 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | 136.00 Mn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 935.00 Mn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | 217.00 Mn |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | -345.00 Mn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | 172.03 Mn |
| 10 | Inspired Entertainment | 91.19 Mn | -53.91 Mn | 48.60 Mn | 24.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.20 Mn |
| Mar 31, 2026 | 24.30 Mn |
| Dec 31, 2025 | 34.20 Mn |
| Sep 30, 2025 | 31.70 Mn |
| Jun 30, 2025 | 31.90 Mn |
| Mar 31, 2025 | 30.30 Mn |
| Dec 31, 2024 | 34.40 Mn |
| Sep 30, 2024 | 31.40 Mn |
| Jun 30, 2024 | 1.60 Mn |
| Mar 31, 2024 | 34.20 Mn |
| Dec 31, 2023 | 33.10 Mn |
| Sep 30, 2023 | 26.90 Mn |
| Jun 30, 2023 | 26.60 Mn |
| Mar 31, 2023 | 29.20 Mn |
| Dec 31, 2022 | 28.60 Mn |
| Sep 30, 2022 | 25.20 Mn |
| Jun 30, 2022 | 25.70 Mn |
| Mar 31, 2022 | 23.20 Mn |
| Dec 31, 2021 | 13.60 Mn |
| Sep 30, 2021 | 33.00 Mn |
Inspired Entertainment Selling, General & Administrative 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=selling-general-and-administrative&ticker=INSE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=INSE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();