Globalstar (GSAT) Operating Expenses (2010 - 2026)
Globalstar (GSAT) reported Operating Expenses of $69.55 million for Q2 2026, up 14.0% from $61 million a year earlier and up 12.4% from the prior quarter.
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Analysis
Globalstar (GSAT) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Globalstar's Operating Expenses came in at $267.46 million, up 3.7% year-over-year; for FY2025, it was $265.56 million, up 5.7% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- By year, Operating Expenses came in at $251.3 million in FY2024 (+12.2%), $223.97 million in FY2023 (-39.4%), $369.53 million in FY2022 (+94.7%) and $189.8 million in FY2021 (+1.1%).
- Five-year quarterly Operating Expenses spans a low of $46.48 million in Q1 2022 and a high of $224.27 million in Q3 2022.
- Year over year, Operating Expenses gained in six of the last eight quarters, with growth averaging 5.2%.
- The high point for year-over-year Operating Expenses in five years was Q3 2022 (growth of 373.9%); the low point was Q3 2023 (a decline of 75.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $61.89 million (Q1 2026), $72.33 million (Q4 2025) and $63.69 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.70 Bn | 155.11 Bn | 27.03 Bn | 27.07 Bn |
| 2 | T-Mobile US | 175.28 Bn | 160.03 Bn | 14.76 Bn | 17.30 Bn |
| 3 | At&T | 167.47 Bn | 115.42 Bn | 25.82 Bn | 24.52 Bn |
| 4 | Grupo Televisa, S.A.B | 141.87 Bn | 130.50 Bn | 318.12 Mn | -117.85 Mn |
| 5 | Comcast | 76.96 Bn | 41.21 Bn | - | 24.78 Bn |
| 6 | Chunghwa Telecom | 35.31 Bn | 31.16 Bn | 728.80 Mn | 309.31 Mn |
| 7 | EchoStar | 25.94 Bn | 17.08 Bn | 1.65 Bn | 3.06 Bn |
| 8 | AST SpaceMobile | 22.90 Bn | 23.41 Bn | 7.95 Mn | 329.10 Mn |
| 9 | Bce | 18.99 Bn | 17.31 Bn | - | -2.51 Bn |
| 10 | Globalstar | 10.74 Bn | 9.18 Bn | 37.78 Mn | 69.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 69.55 Mn |
| Mar 31, 2026 | 61.89 Mn |
| Dec 31, 2025 | 72.33 Mn |
| Sep 30, 2025 | 63.69 Mn |
| Jun 30, 2025 | 61.00 Mn |
| Mar 31, 2025 | 68.53 Mn |
| Dec 31, 2024 | 65.43 Mn |
| Sep 30, 2024 | 62.87 Mn |
| Jun 30, 2024 | 61.81 Mn |
| Mar 31, 2024 | 61.19 Mn |
| Dec 31, 2023 | 64.40 Mn |
| Sep 30, 2023 | 55.67 Mn |
| Jun 30, 2023 | 52.45 Mn |
| Mar 31, 2023 | 51.45 Mn |
| Dec 31, 2022 | 50.63 Mn |
| Sep 30, 2022 | 224.27 Mn |
| Jun 30, 2022 | 48.16 Mn |
| Mar 31, 2022 | 46.48 Mn |
| Dec 31, 2021 | 50.00 Mn |
| Sep 30, 2021 | 47.33 Mn |
API Access
Globalstar Operating Expenses 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=operating-expenses&ticker=GSAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=GSAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();