Globalstar (GSAT) Selling, General & Administrative (2010 - 2026)
Globalstar's Selling, General & Administrative came in at $23.03 million for Q2 2026, up 137.8% from $9.68 million a year earlier and up 55.3% from the prior quarter.
Globalstar (GSAT) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Globalstar reported Selling, General & Administrative of $68.01 million, up 55.6% year-over-year; for FY2025, it came in at $51.43 million, up 18.4% from FY2024.
- Selling, General & Administrative carries a five-year compound annual growth rate of 4.3% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $43.43 million in FY2024 (-0.1%), $43.46 million in FY2023 (+30.3%), $33.35 million in FY2022 (-3.7%) and $34.63 million in FY2021 (-17.0%).
- The Q2 2026 figure represents the highest quarterly Selling, General & Administrative in data going back to Q2 2010.
- Year-over-year, Selling, General & Administrative has increased for four consecutive quarters, with growth averaging 27.9% over the last eight quarters.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q2 2026 (growth of 137.8%), and the weakest in Q4 2021 (a decline of 45.3%).
- Business Quant data shows GSAT's Selling, General & Administrative at $14.83 million (Q1 2026), $18.81 million (Q4 2025) and $11.35 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.87 Bn | 155.27 Bn | 27.03 Bn | 8.98 Bn |
| 2 | T-Mobile US | 175.88 Bn | 160.63 Bn | 14.76 Bn | 5.83 Bn |
| 3 | At&T | 166.65 Bn | 114.60 Bn | 25.82 Bn | 7.22 Bn |
| 4 | Grupo Televisa, S.A.B | 142.49 Bn | 131.12 Bn | 318.12 Mn | -115.06 Mn |
| 5 | Comcast | 76.29 Bn | 40.54 Bn | - | - |
| 6 | Chunghwa Telecom | 35.81 Bn | 31.66 Bn | 728.80 Mn | 61.34 Mn |
| 7 | EchoStar | 27.35 Bn | 18.48 Bn | 1.65 Bn | 547.85 Mn |
| 8 | AST SpaceMobile | 22.74 Bn | 23.25 Bn | 7.95 Mn | 63.90 Mn |
| 9 | Telefonica Brasil | 18.42 Bn | 12.42 Bn | 1.42 Bn | -203.00 Mn |
| 10 | Globalstar | 10.78 Bn | 9.22 Bn | 37.78 Mn | 23.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.03 Mn |
| Mar 31, 2026 | 14.83 Mn |
| Dec 31, 2025 | 18.81 Mn |
| Sep 30, 2025 | 11.35 Mn |
| Jun 30, 2025 | 9.68 Mn |
| Mar 31, 2025 | 11.59 Mn |
| Dec 31, 2024 | 12.00 Mn |
| Sep 30, 2024 | 10.44 Mn |
| Jun 30, 2024 | 10.35 Mn |
| Mar 31, 2024 | 10.65 Mn |
| Dec 31, 2023 | 11.62 Mn |
| Sep 30, 2023 | 12.09 Mn |
| Jun 30, 2023 | 10.12 Mn |
| Mar 31, 2023 | 9.63 Mn |
| Dec 31, 2022 | 8.18 Mn |
| Sep 30, 2022 | 8.61 Mn |
| Jun 30, 2022 | 9.69 Mn |
| Mar 31, 2022 | 9.34 Mn |
| Dec 31, 2021 | 5.66 Mn |
| Sep 30, 2021 | 9.20 Mn |
Globalstar Selling, General & Administrative 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=selling-general-and-administrative&ticker=GSAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=GSAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();