Globalstar (GSAT) Total Current Liabilities (2010 - 2026)
Globalstar (GSAT) recorded Total Current Liabilities of $299.91 million in Q2 2026, up 132.1% from $129.24 million a year earlier and up 18.3% from the prior quarter.
Globalstar (GSAT) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Globalstar reported Total Current Liabilities of $205.49 million, up 45.2% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of 12.5% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $141.49 million in FY2024 (-19.6%), $175.91 million in FY2023 (-10.7%), $197.08 million in FY2022 (+220.1%) and $61.57 million in FY2021 (-46.1%).
- The Q2 2026 figure is the highest quarterly Total Current Liabilities since Q1 2013.
- On a year-over-year basis, Total Current Liabilities has increased for four consecutive quarters, with growth averaging 30.2% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 220.1% in Q4 2022, against a decline of 46.1% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $253.51 million (Q1 2026), $205.49 million (Q4 2025) and $158.39 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.70 Bn | 155.11 Bn | 27.03 Bn | 62.21 Bn |
| 2 | T-Mobile US | 175.28 Bn | 160.03 Bn | 14.76 Bn | 23.55 Bn |
| 3 | At&T | 167.47 Bn | 115.42 Bn | 25.82 Bn | 53.38 Bn |
| 4 | Grupo Televisa, S.A.B | 141.87 Bn | 130.50 Bn | 318.12 Mn | 1.57 Bn |
| 5 | Comcast | 76.96 Bn | 41.21 Bn | - | 33.09 Bn |
| 6 | Chunghwa Telecom | 35.31 Bn | 31.16 Bn | 728.80 Mn | 3.72 Bn |
| 7 | EchoStar | 25.94 Bn | 17.08 Bn | 1.65 Bn | 3.82 Bn |
| 8 | AST SpaceMobile | 22.90 Bn | 23.41 Bn | 7.95 Mn | 191.04 Mn |
| 9 | Bce | 18.99 Bn | 17.31 Bn | - | 7.44 Bn |
| 10 | Globalstar | 10.74 Bn | 9.18 Bn | 37.78 Mn | 299.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 299.91 Mn |
| Mar 31, 2026 | 253.51 Mn |
| Dec 31, 2025 | 205.49 Mn |
| Sep 30, 2025 | 158.39 Mn |
| Jun 30, 2025 | 129.24 Mn |
| Mar 31, 2025 | 129.05 Mn |
| Dec 31, 2024 | 141.49 Mn |
| Sep 30, 2024 | 116.85 Mn |
| Jun 30, 2024 | 138.34 Mn |
| Mar 31, 2024 | 135.68 Mn |
| Dec 31, 2023 | 175.91 Mn |
| Sep 30, 2023 | 184.66 Mn |
| Jun 30, 2023 | 173.78 Mn |
| Mar 31, 2023 | 162.69 Mn |
| Dec 31, 2022 | 197.08 Mn |
| Sep 30, 2022 | 146.94 Mn |
| Jun 30, 2022 | 139.98 Mn |
| Mar 31, 2022 | 103.68 Mn |
| Dec 31, 2021 | 61.57 Mn |
| Sep 30, 2021 | 81.00 Mn |
Globalstar Total 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-current-liabilities&ticker=GSAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=GSAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();