Viking Global Technologies (VGTK) Return on Sales [ROS] (2009 - 2025)
Viking Global Technologies (VGTK) posted Return on Sales [ROS] of -127.57% for Q4 2025, down 37.76 percentage points from -89.81% a year earlier and down 53.69 percentage points from the prior quarter.
Viking Global Technologies (VGTK) Return on Sales [ROS] (2009 - 2025) Analysis & Trends
Since Q2 2021, Viking Global Technologies has reported Return on Sales [ROS] for 18 quarters.
- Annual Return on Sales [ROS] shows a five-year change of +3320.63 percentage points (FY2020 to FY2025).
- In prior years, Viking Global Technologies' Return on Sales [ROS] was -39.09% in FY2024 (-17.27 pp), -21.82% in FY2023 (+18.42 pp), -40.25% in FY2022 (+1313.96 pp) and -1354.20% in FY2021 (+2094.00 pp).
- The Q4 2025 figure stands as the lowest quarterly Return on Sales [ROS] since Q2 2022.
- On a year-over-year basis, Return on Sales [ROS] has declined in each of the last three quarters, with an average year-over-year change of -23.79 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2022, with a gain of 843.26 percentage points; the weakest was Q3 2025, with a drop of 46.92 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -73.88% (Q3 2025), -52.67% (Q2 2025) and -28.59% (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 212.47 Bn | 164.72 Bn | 3.11 Bn | 11.03% |
| 2 | Bloom Energy | 56.73 Bn | 46.66 Bn | 417.10 Mn | 18.24% |
| 3 | First Solar | 18.42 Bn | 9.79 Bn | 713.06 Mn | 44.37% |
| 4 | Nextpower | 14.32 Bn | 10.03 Bn | 345.32 Mn | 18.71% |
| 5 | BWX Technologies | 11.27 Bn | 9.04 Bn | 227.14 Mn | 13.86% |
| 6 | Generac Holdings | 11.25 Bn | 9.99 Bn | 516.04 Mn | 12.40% |
| 7 | Innio | 10.93 Bn | 7.17 Bn | 367.70 Mn | 16.58% |
| 8 | EnerSys | 5.13 Bn | 3.44 Bn | 284.35 Mn | 12.15% |
| 9 | Mirion Technologies | 4.30 Bn | 2.71 Bn | 131.50 Mn | 6.19% |
| 10 | Viking Global Technologies | 26,800.00 | 5.18 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -127.57% |
| Sep 30, 2025 | -73.88% |
| Jun 30, 2025 | -52.67% |
| Mar 31, 2025 | -28.59% |
| Dec 31, 2024 | -89.81% |
| Sep 30, 2024 | -26.96% |
| Jun 30, 2024 | -23.01% |
| Mar 31, 2024 | -33.76% |
| Dec 31, 2023 | -49.44% |
| Sep 30, 2023 | -5.36% |
| Jun 30, 2023 | -24.03% |
| Mar 31, 2023 | -13.54% |
| Dec 31, 2022 | -51.79% |
| Sep 30, 2022 | -48.58% |
| Jun 30, 2022 | -564.64% |
| Mar 31, 2022 | -745.98% |
| Sep 30, 2021 | -891.85% |
| Jun 30, 2021 | -1,259.03% |
| Mar 31, 2021 | -2,834.42% |
| Sep 30, 2020 | -1,440.43% |
Viking Global Technologies 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=VGTK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "VGTK", "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=VGTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();