Inspired Entertainment (INSE) Accumulated Expenses (2016 - 2023)
Inspired Entertainment (INSE) recorded Accumulated Expenses of $35.6 million in Q1 2023, down 6.6% from $38.1 million a year earlier but up 22.8% from the prior quarter.
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Analysis
Inspired Entertainment (INSE) Accumulated Expenses (2016 - 2023) Analysis & Trends
At the end of FY2022, Inspired Entertainment reported Accumulated Expenses of $29 million, down 11.9% from FY2021.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 9.9% (FY2017 to FY2022).
- Across earlier years, Accumulated Expenses came in at $32.9 million in FY2021 (+4.8%), $31.4 million in FY2020 (+0.6%), $31.2 million in FY2019 (+150.4%) and $12.46 million in FY2018.
- Quarterly Accumulated Expenses has ranged from $12.46 million in Q4 2018 to $43.5 million in Q3 2021 over the past five years.
- On a year-over-year basis, Accumulated Expenses has declined for four consecutive quarters, with an average decline of 1.6% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 150.4% in Q4 2019, against a decline of 38.9% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $29 million (Q4 2022), $26.6 million (Q3 2022) and $25.8 million (Q2 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,109.95 Bn | 3,867.48 Bn | 73.85 Bn |
| 2 | Netflix | 282.52 Bn | 242.72 Bn | 6.52 Bn |
| 3 | Alibaba Group Holding | 249.53 Bn | 67.40 Bn | 15.11 Bn |
| 4 | Shopify | 193.10 Bn | 170.29 Bn | 1.71 Bn |
| 5 | Uber Technologies | 138.52 Bn | 110.49 Bn | 6.38 Bn |
| 6 | Booking Holdings | 120.43 Bn | 53.48 Bn | - |
| 7 | PDD Holdings | 108.89 Bn | -143.04 Bn | 9.45 Bn |
| 8 | Spotify Technology | 101.14 Bn | 58.37 Bn | 1.86 Bn |
| 9 | Airbnb | 94.68 Bn | 47.91 Bn | 2.98 Bn |
| 10 | Inspired Entertainment | 96.72 Mn | -48.38 Mn | 48.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 35.60 Mn |
| Dec 31, 2022 | 29.00 Mn |
| Sep 30, 2022 | 26.60 Mn |
| Jun 30, 2022 | 25.80 Mn |
| Mar 31, 2022 | 38.10 Mn |
| Dec 31, 2021 | 32.90 Mn |
| Sep 30, 2021 | 43.50 Mn |
| Jun 30, 2021 | 28.00 Mn |
| Mar 31, 2021 | 32.10 Mn |
| Dec 31, 2020 | 31.40 Mn |
| Sep 30, 2020 | 35.00 Mn |
| Jun 30, 2020 | 26.70 Mn |
| Mar 31, 2020 | 36.60 Mn |
| Dec 31, 2019 | 31.20 Mn |
| Sep 30, 2019 | 15.20 Mn |
| Jun 30, 2019 | 14.80 Mn |
| Mar 31, 2019 | 13.39 Mn |
| Dec 31, 2018 | 12.46 Mn |
| Sep 30, 2018 | 14.30 Mn |
| Jun 30, 2018 | 12.66 Mn |
API Access
Inspired Entertainment Accumulated 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=accumulated-expenses&ticker=INSE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=INSE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();