Globalstar (GSAT) Return on Sales [ROS] (2010 - 2026)
Globalstar's Return on Sales [ROS] was -7.37% in Q2 2026, down 16.52 percentage points from 9.15% a year earlier and down 19.03 percentage points from the prior quarter.
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Analysis
Globalstar (GSAT) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Globalstar's Return on Sales [ROS] was 4.70% through Jun 30, 2026, up 3.61 percentage points year-over-year; for FY2025, it came in at 2.72%, up 3.10 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +48.77 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -0.38% in FY2024 (-0.31 pp), -0.07% in FY2023 (+148.76 pp), -148.84% in FY2022 (-96.14 pp) and -52.70% in FY2021 (-6.65 pp).
- The Q2 2026 figure marks the lowest quarterly Return on Sales [ROS] since Q1 2025.
- Compared with a year earlier, Return on Sales [ROS] was higher in six of the last eight quarters, with an average year-over-year change of +5.95 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q3 2023 (a gain of 499.54 percentage points); the worst was Q3 2022 (a drop of 450.93 percentage points).
- Per Business Quant data, GSAT's Return on Sales [ROS] in the three quarters before Q2 2026 was 11.66% (Q1 2026), -0.52% (Q4 2025) and 13.75% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.87 Bn | 155.27 Bn | 27.03 Bn | 20.96% |
| 2 | T-Mobile US | 175.88 Bn | 160.63 Bn | 14.76 Bn | 24.09% |
| 3 | At&T | 166.65 Bn | 114.60 Bn | 25.82 Bn | 22.30% |
| 4 | Grupo Televisa, S.A.B | 142.49 Bn | 131.12 Bn | 318.12 Mn | 11.00% |
| 5 | Comcast | 76.29 Bn | 40.54 Bn | - | 17.23% |
| 6 | Chunghwa Telecom | 35.81 Bn | 31.66 Bn | 728.80 Mn | 21.61% |
| 7 | EchoStar | 27.35 Bn | 18.48 Bn | 1.65 Bn | 14.34% |
| 8 | AST SpaceMobile | 22.74 Bn | 23.25 Bn | 7.95 Mn | -1,018.86% |
| 9 | Telefonica Brasil | 18.42 Bn | 12.42 Bn | 1.42 Bn | 16.48% |
| 10 | Globalstar | 10.78 Bn | 9.22 Bn | 37.78 Mn | -7.37% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -7.37% |
| Mar 31, 2026 | 11.66% |
| Dec 31, 2025 | -0.52% |
| Sep 30, 2025 | 13.75% |
| Jun 30, 2025 | 9.15% |
| Mar 31, 2025 | -14.16% |
| Dec 31, 2024 | -6.95% |
| Sep 30, 2024 | 13.05% |
| Jun 30, 2024 | -2.35% |
| Mar 31, 2024 | -8.34% |
| Dec 31, 2023 | -22.88% |
| Sep 30, 2023 | 3.50% |
| Jun 30, 2023 | 4.76% |
| Mar 31, 2023 | 12.26% |
| Dec 31, 2022 | -22.56% |
| Sep 30, 2022 | -496.04% |
| Jun 30, 2022 | -30.86% |
| Mar 31, 2022 | -41.84% |
| Dec 31, 2021 | -45.02% |
| Sep 30, 2021 | -45.12% |
API Access
Globalstar Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=GSAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=GSAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();