GameSquare Holdings (GAME) Long-Term Debt Repayments (2020 - 2025)
GameSquare Holdings' Long-Term Debt Repayments came in at $1.72 million for Q4 2025, down 3.0% from $1.78 million a year earlier.
Powered by 
Analysis
GameSquare Holdings (GAME) Long-Term Debt Repayments (2020 - 2025) Analysis & Trends
For FY2025, GameSquare Holdings' Long-Term Debt Repayments was $4.62 million, down 39.0% from FY2024.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of 34.3% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $7.58 million in FY2024 (+910.1%), $750,000 in FY2023 (+401.9%), $149,442 in FY2022 and $101,344 in FY2021 (-90.4%).
- The Q4 2025 figure represents the lowest quarterly Long-Term Debt Repayments since Q1 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (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 | 2.00 Mn |
| 7 | Skydance | 9.23 Bn | 9.23 Bn | - | - |
| 8 | Nexstar Media | 6.08 Bn | 4.70 Bn | 1.20 Bn | 349.00 Mn |
| 9 | Wpp | 5.95 Bn | -6.09 Bn | - | - |
| 10 | GameSquare Holdings | 31.76 Mn | 9.24 Mn | 9.05 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.72 Mn |
| Dec 31, 2024 | 1.78 Mn |
| Sep 30, 2024 | 5.70 Mn |
| Mar 31, 2024 | 100,000.00 |
| Dec 31, 2023 | -75,510.00 |
| May 31, 2022 | -141,720.00 |
| Feb 28, 2022 | 76,200.00 |
| Nov 30, 2021 | -25,486.00 |
| Aug 31, 2021 | 3.15 Mn |
| May 31, 2021 | -465,111.00 |
| Feb 28, 2021 | -704,483.00 |
| Nov 30, 2020 | -1.88 Mn |
API Access
GameSquare Holdings Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=GAME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=GAME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();