GameSquare Holdings (GAME) Other Operating Expenses (2023 - 2026)
GameSquare Holdings' Other Operating Expenses was $5.03 million in Q2 2026, up 95.4% from $2.57 million a year earlier.
GameSquare Holdings (GAME) Other Operating Expenses (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, GameSquare Holdings' Other Operating Expenses was $13.23 million through Jun 30, 2026, down 47.0% year-over-year; for FY2025, it was $1.32 million, down 89.2% from FY2024.
- In earlier years, Other Operating Expenses was $12.23 million in FY2024 (-1.7%), $12.44 million in FY2023 (+67.1%), $7.45 million in FY2022 and -$18.51 million in FY2021.
- The Q2 2026 figure marks the highest quarterly Other Operating Expenses since Q4 2024.
- Compared with a year earlier, Other Operating Expenses was higher in three of the last six quarters, with growth averaging 3.0%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Fox | 28.18 Bn | 13.82 Bn | - |
| 2 | Omnicom | 24.09 Bn | 5.79 Bn | 1.36 Bn |
| 3 | News | 14.61 Bn | 6.10 Bn | - |
| 4 | New York Times | 11.32 Bn | 8.75 Bn | 395.07 Mn |
| 5 | Pearson | 11.14 Bn | 8.25 Bn | - |
| 6 | Sirius Xm Holdings | 11.07 Bn | 10.52 Bn | 1.43 Bn |
| 7 | Skydance | 9.23 Bn | 9.23 Bn | - |
| 8 | Nexstar Media | 6.08 Bn | 4.70 Bn | 1.20 Bn |
| 9 | Wpp | 5.95 Bn | -6.09 Bn | - |
| 10 | GameSquare Holdings | 31.76 Mn | 9.24 Mn | 9.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.92 Mn |
| Dec 31, 2025 | 502,597.00 |
| Sep 30, 2025 | 1.10 Mn |
| Jun 30, 2025 | 547,188.00 |
| Mar 31, 2025 | 745,377.00 |
| Dec 31, 2024 | 2.93 Mn |
| Sep 30, 2024 | 1.29 Mn |
| Jun 30, 2024 | 994,717.00 |
| Mar 31, 2024 | 1.09 Mn |
| Dec 31, 2023 | 878,105.00 |
| Sep 30, 2023 | 688,935.00 |
| Jun 30, 2023 | 1.01 Mn |
| Mar 31, 2023 | 484,309.00 |
GameSquare Holdings 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=GAME&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "GAME", "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=GAME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();