Motorsport Games (MSGM) Operating Expenses (2020 - 2026)
Motorsport Games (MSGM) reported Operating Expenses of $2.26 million for Q2 2026, up 77.3% from $1.27 million a year earlier but down 8.2% from the prior quarter.
Motorsport Games (MSGM) Operating Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Motorsport Games' Operating Expenses came in at $9.12 million, up 10.6% year-over-year; for FY2025, it came in at $7.56 million, down 32.5% from FY2024.
- Operating Expenses has declined for four consecutive years, with a five-year compound annual growth rate of -9.5% (FY2020 to FY2025).
- By year, Operating Expenses came in at $11.21 million in FY2024 (-50.6%), $22.7 million in FY2023 (-43.8%), $40.39 million in FY2022 (-4.0%) and $42.07 million in FY2021 (+238.0%).
- Five-year quarterly Operating Expenses spans a low of $1.27 million in Q2 2025 and a high of $16.91 million in Q1 2022.
- Year over year, Operating Expenses has now increased in each of the last three quarters, with an average decline of 7.8% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q3 2021 (growth of 134.1%); the low point was Q2 2024 (a decline of 73.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.46 million (Q1 2026), $2.7 million (Q4 2025) and $1.71 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,505.75 Bn | 3,240.65 Bn | 76.16 Bn | 87.00 Bn |
| 2 | Meta Platforms | 1,636.37 Bn | 1,300.89 Bn | 51.23 Bn | 51.61 Bn |
| 3 | Netflix | 264.79 Bn | 226.09 Bn | 6.80 Bn | 1.50 Bn |
| 4 | Alibaba Group Holding | 244.49 Bn | 58.13 Bn | 15.16 Bn | 5.19 Bn |
| 5 | Shopify | 196.00 Bn | 174.81 Bn | 1.78 Bn | 1.21 Bn |
| 6 | Uber Technologies | 145.16 Bn | 115.98 Bn | 6.42 Bn | 13.32 Bn |
| 7 | AppLovin | 136.87 Bn | 125.40 Bn | 1.94 Bn | 475.85 Mn |
| 8 | Spotify Technology | 125.04 Bn | 81.96 Bn | 1.89 Bn | 645.39 Mn |
| 9 | Booking Holdings | 122.68 Bn | 56.42 Bn | - | 5.48 Bn |
| 10 | Motorsport Games | 20.42 Mn | 1.45 Mn | 2.90 Mn | 2.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.26 Mn |
| Mar 31, 2026 | 2.46 Mn |
| Dec 31, 2025 | 2.70 Mn |
| Sep 30, 2025 | 1.71 Mn |
| Jun 30, 2025 | 1.27 Mn |
| Mar 31, 2025 | 1.89 Mn |
| Dec 31, 2024 | 2.06 Mn |
| Sep 30, 2024 | 3.02 Mn |
| Jun 30, 2024 | 2.55 Mn |
| Mar 31, 2024 | 3.58 Mn |
| Dec 31, 2023 | 3.79 Mn |
| Sep 30, 2023 | 3.53 Mn |
| Jun 30, 2023 | 9.49 Mn |
| Mar 31, 2023 | 5.89 Mn |
| Dec 31, 2022 | 7.47 Mn |
| Sep 30, 2022 | 8.17 Mn |
| Jun 30, 2022 | 7.84 Mn |
| Mar 31, 2022 | 16.91 Mn |
| Dec 31, 2021 | 10.12 Mn |
| Sep 30, 2021 | 7.58 Mn |
Motorsport Games 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=operating-expenses&ticker=MSGM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MSGM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=MSGM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();