GlobalTech (GLTK) Return on Sales [ROS] (2022 - 2026)
GlobalTech's Return on Sales [ROS] came in at -34.59% for Q2 2026, down 17.57 percentage points from -17.02% a year earlier and down 3.45 percentage points from the prior quarter.
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Analysis
GlobalTech (GLTK) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, GlobalTech reported Return on Sales [ROS] of -27.03%, down 7.54 percentage points year-over-year; for FY2025, it came in at -16.90%, up 5.32 percentage points from FY2024.
- Return on Sales [ROS] carries a four-year change of +44.49 percentage points (FY2021 to FY2025).
- Going back by year, Return on Sales [ROS] was -22.23% in FY2024 (+76.51 pp), -98.73% in FY2023 (-3.57 pp), -95.16% in FY2022 (-33.77 pp) and -61.39% in FY2021.
- The Q2 2026 figure represents the lowest quarterly Return on Sales [ROS] since Q4 2023.
- Year-over-year, Return on Sales [ROS] has declined for three consecutive quarters, with an average year-over-year change of +14.76 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2023 (a gain of 146.88 percentage points), and the weakest in Q1 2023 (a drop of 136.09 percentage points).
- Business Quant data shows GLTK's Return on Sales [ROS] at -31.15% (Q1 2026), -22.61% (Q4 2025) and -9.32% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 183.89 Bn | 147.02 Bn | 27.03 Bn | 20.96% |
| 2 | T-Mobile US | 168.85 Bn | 153.60 Bn | 14.76 Bn | 24.09% |
| 3 | At&T | 161.17 Bn | 93.13 Bn | 25.82 Bn | 22.30% |
| 4 | Grupo Televisa, S.A.B | 153.29 Bn | 145.03 Bn | 318.12 Mn | 11.00% |
| 5 | Comcast | 78.05 Bn | 42.12 Bn | - | 17.23% |
| 6 | Vodafone Group Public | 38.16 Bn | 7.56 Bn | - | - |
| 7 | Chunghwa Telecom | 36.97 Bn | 28.98 Bn | 728.80 Mn | 21.61% |
| 8 | EchoStar | 25.03 Bn | 16.12 Bn | 1.65 Bn | 14.34% |
| 9 | Telefonica Brasil | 20.37 Bn | 14.39 Bn | 1.42 Bn | 16.48% |
| 10 | GlobalTech | 749.92 Mn | 731.84 Mn | 3.88 Mn | -34.59% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -34.59% |
| Mar 31, 2026 | -31.15% |
| Dec 31, 2025 | -22.61% |
| Sep 30, 2025 | -9.32% |
| Jun 30, 2025 | -17.02% |
| Mar 31, 2025 | -21.73% |
| Dec 31, 2024 | -17.86% |
| Sep 30, 2024 | -21.91% |
| Jun 30, 2024 | -20.20% |
| Mar 31, 2024 | -31.01% |
| Dec 31, 2023 | -93.03% |
| Sep 30, 2023 | -71.54% |
| Jun 30, 2023 | -73.17% |
| Mar 31, 2023 | -159.36% |
| Dec 31, 2022 | -239.91% |
| Sep 30, 2022 | -54.20% |
| Jun 30, 2022 | -41.04% |
| Mar 31, 2022 | -23.27% |
API Access
GlobalTech 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=GLTK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "GLTK", "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=GLTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();