Globalstar (GSAT) Total Liabilities (2010 - 2026)
Globalstar's Total Liabilities came in at $2.15 billion for Q2 2026, up 39.0% from $1.55 billion a year earlier and up 4.5% from the prior quarter.
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Analysis
Globalstar (GSAT) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Globalstar's Total Liabilities was $1.97 billion, up 45.8% from FY2024.
- Total Liabilities has increased in each of the last three years, with a five-year compound annual growth rate of 33.5% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $1.35 billion in FY2024 (+147.8%), $545.33 million in FY2023 (+28.7%), $423.7 million in FY2022 (-5.6%) and $448.68 million in FY2021 (-3.5%).
- The Q2 2026 figure represents the highest quarterly Total Liabilities in data going back to Q4 2010.
- Year-over-year, Total Liabilities has increased for seven consecutive quarters, with growth averaging 108.2% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q3 2025 (growth of 243.4%), and the weakest in Q2 2023 (a decline of 15.9%).
- Business Quant data shows GSAT's Total Liabilities at $2.06 billion (Q1 2026), $1.97 billion (Q4 2025) and $1.8 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.70 Bn | 155.11 Bn | 27.03 Bn | 304.99 Bn |
| 2 | T-Mobile US | 175.28 Bn | 160.03 Bn | 14.76 Bn | 157.29 Bn |
| 3 | At&T | 167.47 Bn | 115.42 Bn | 25.82 Bn | 301.93 Bn |
| 4 | Grupo Televisa, S.A.B | 141.87 Bn | 130.50 Bn | 318.12 Mn | 7.70 Bn |
| 5 | Comcast | 76.96 Bn | 41.21 Bn | - | 167.78 Bn |
| 6 | Chunghwa Telecom | 35.31 Bn | 31.16 Bn | 728.80 Mn | 5.92 Bn |
| 7 | EchoStar | 25.94 Bn | 17.08 Bn | 1.65 Bn | 25.22 Bn |
| 8 | AST SpaceMobile | 22.90 Bn | 23.41 Bn | 7.95 Mn | 3.46 Bn |
| 9 | Bce | 18.99 Bn | 17.31 Bn | - | 41.11 Bn |
| 10 | Globalstar | 10.74 Bn | 9.18 Bn | 37.78 Mn | 2.15 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.15 Bn |
| Mar 31, 2026 | 2.06 Bn |
| Dec 31, 2025 | 1.97 Bn |
| Sep 30, 2025 | 1.80 Bn |
| Jun 30, 2025 | 1.55 Bn |
| Mar 31, 2025 | 1.38 Bn |
| Dec 31, 2024 | 1.35 Bn |
| Sep 30, 2024 | 523.47 Mn |
| Jun 30, 2024 | 543.27 Mn |
| Mar 31, 2024 | 539.95 Mn |
| Dec 31, 2023 | 545.33 Mn |
| Sep 30, 2023 | 527.25 Mn |
| Jun 30, 2023 | 517.07 Mn |
| Mar 31, 2023 | 534.70 Mn |
| Dec 31, 2022 | 423.70 Mn |
| Sep 30, 2022 | 610.96 Mn |
| Jun 30, 2022 | 614.82 Mn |
| Mar 31, 2022 | 501.19 Mn |
| Dec 31, 2021 | 448.68 Mn |
| Sep 30, 2021 | 498.99 Mn |
API Access
Globalstar Total Liabilities 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=total-liabilities&ticker=GSAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "GSAT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=GSAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();