Globalstar (GSAT) Cash & Equivalents (2010 - 2026)
Globalstar (GSAT) reported Cash & Equivalents of $409.77 million for Q2 2026, up 32.9% from $308.23 million a year earlier and up 14.3% from the prior quarter.
Globalstar (GSAT) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Globalstar posted Cash & Equivalents of $447.47 million, up 14.4% from FY2024.
- Cash & Equivalents has increased for six consecutive years, with a five-year compound annual growth rate of 101.9% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $391.16 million in FY2024 (+589.3%), $56.74 million in FY2023 (+76.9%), $32.08 million in FY2022 (+124.3%) and $14.3 million in FY2021 (+7.3%).
- Five-year quarterly Cash & Equivalents spans a low of $11.31 million in Q3 2021 and a high of $447.47 million in Q4 2025.
- Year over year, Cash & Equivalents has now increased in each of the last seven quarters, with growth averaging 239.9% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q4 2024 (growth of 589.3%); the low point was Q3 2021 (a decline of 42.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $358.45 million (Q1 2026), $447.47 million (Q4 2025) and $346.29 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.87 Bn | 155.27 Bn | 27.03 Bn | 1.75 Bn |
| 2 | T-Mobile US | 175.88 Bn | 160.63 Bn | 14.76 Bn | 2.83 Bn |
| 3 | At&T | 166.65 Bn | 114.60 Bn | 25.82 Bn | 17.57 Bn |
| 4 | Grupo Televisa, S.A.B | 142.49 Bn | 131.12 Bn | 318.12 Mn | 1.70 Bn |
| 5 | Comcast | 76.29 Bn | 40.54 Bn | - | 7.66 Bn |
| 6 | Chunghwa Telecom | 35.81 Bn | 31.66 Bn | 728.80 Mn | 1.34 Bn |
| 7 | EchoStar | 27.35 Bn | 18.48 Bn | 1.65 Bn | 439.99 Mn |
| 8 | AST SpaceMobile | 22.74 Bn | 23.25 Bn | 7.95 Mn | 2.29 Bn |
| 9 | Telefonica Brasil | 18.42 Bn | 12.42 Bn | 1.42 Bn | 1.68 Bn |
| 10 | Globalstar | 10.78 Bn | 9.22 Bn | 37.78 Mn | 409.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 409.77 Mn |
| Mar 31, 2026 | 358.45 Mn |
| Dec 31, 2025 | 447.47 Mn |
| Sep 30, 2025 | 346.29 Mn |
| Jun 30, 2025 | 308.23 Mn |
| Mar 31, 2025 | 241.41 Mn |
| Dec 31, 2024 | 391.16 Mn |
| Sep 30, 2024 | 51.92 Mn |
| Jun 30, 2024 | 64.33 Mn |
| Mar 31, 2024 | 59.28 Mn |
| Dec 31, 2023 | 56.74 Mn |
| Sep 30, 2023 | 64.14 Mn |
| Jun 30, 2023 | 65.33 Mn |
| Mar 31, 2023 | 20.49 Mn |
| Dec 31, 2022 | 32.08 Mn |
| Sep 30, 2022 | 14.75 Mn |
| Jun 30, 2022 | 13.14 Mn |
| Mar 31, 2022 | 11.52 Mn |
| Dec 31, 2021 | 14.30 Mn |
| Sep 30, 2021 | 11.31 Mn |
Globalstar Cash & Equivalents 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=cash-and-equivalents&ticker=GSAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=GSAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();