Globalstar (GSAT) Total Non-Current Liabilities (2010 - 2026)
Globalstar (GSAT) posted Total Non-Current Liabilities of $1.85 billion for Q2 2026, up 30.5% from $1.42 billion a year earlier and up 4.0% from the prior quarter.
Globalstar (GSAT) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Globalstar's Total Non-Current Liabilities came in at $1.77 billion, up 45.9% from FY2024.
- Annual Total Non-Current Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 38.1% (FY2020 to FY2025).
- In prior years, Globalstar's Total Non-Current Liabilities was $1.21 billion in FY2024 (+227.5%), $369.42 million in FY2023 (+63.0%), $226.62 million in FY2022 (-41.5%) and $387.11 million in FY2021 (+10.3%).
- The Q2 2026 figure stands as the highest quarterly Total Non-Current Liabilities in data going back to Q4 2010.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last 11 quarters, with growth averaging 141.1% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q3 2025, with growth of 303.1%; the weakest was Q4 2022, with a decline of 41.5%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $1.78 billion (Q1 2026), $1.77 billion (Q4 2025) and $1.64 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 179.49 Bn | 180.79 Bn | - | 241.96 Bn |
| 2 | T-Mobile US | 157.39 Bn | 139.82 Bn | 15.13 Bn | 132.81 Bn |
| 3 | At&T | 139.58 Bn | 97.02 Bn | 26.22 Bn | 189.90 Bn |
| 4 | Grupo Televisa, S.A.B | 135.02 Bn | 127.32 Bn | 318.12 Mn | 5.55 Bn |
| 5 | Comcast | 76.35 Bn | 42.32 Bn | - | 143.69 Bn |
| 6 | Vodafone Group Public | 38.03 Bn | 11.70 Bn | - | 59.09 Bn |
| 7 | Chunghwa Telecom | 37.38 Bn | 29.88 Bn | 728.80 Mn | 18.48 Mn |
| 8 | EchoStar | 27.36 Bn | 18.50 Bn | 1.65 Bn | 21.41 Bn |
| 9 | Bce | 18.68 Bn | 17.02 Bn | 3.38 Bn | 32.77 Bn |
| 10 | Globalstar | 10.89 Bn | 9.33 Bn | 37.78 Mn | 1.85 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.85 Bn |
| Mar 31, 2026 | 1.78 Bn |
| Dec 31, 2025 | 1.77 Bn |
| Sep 30, 2025 | 1.64 Bn |
| Jun 30, 2025 | 1.42 Bn |
| Mar 31, 2025 | 1.26 Bn |
| Dec 31, 2024 | 1.21 Bn |
| Sep 30, 2024 | 406.61 Mn |
| Jun 30, 2024 | 404.93 Mn |
| Mar 31, 2024 | 404.27 Mn |
| Dec 31, 2023 | 369.42 Mn |
| Sep 30, 2023 | 342.59 Mn |
| Jun 30, 2023 | 343.30 Mn |
| Mar 31, 2023 | 372.01 Mn |
| Dec 31, 2022 | 226.62 Mn |
| Sep 30, 2022 | 464.02 Mn |
| Jun 30, 2022 | 474.84 Mn |
| Mar 31, 2022 | 397.51 Mn |
| Dec 31, 2021 | 387.11 Mn |
| Sep 30, 2021 | 418.00 Mn |
Globalstar Total Non-Current 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-non-current-liabilities&ticker=GSAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=GSAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();