Viking Global Technologies (VGTK) Return on Capital Employed [ROCE] (2009 - 2025)
Viking Global Technologies' Return on Capital Employed [ROCE] came in at -337.42% for Q4 2025, down 257.71 percentage points from -79.71% a year earlier and down 190.59 percentage points from the prior quarter.
Viking Global Technologies (VGTK) Return on Capital Employed [ROCE] (2009 - 2025) Analysis & Trends
For FY2025, Viking Global Technologies' Return on Capital Employed [ROCE] was -58.21%, down 22.85 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a three-year change of -15.91 percentage points (FY2022 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was -35.36% in FY2024 (-15.35 pp), -20.01% in FY2023 (+22.30 pp) and -42.30% in FY2022.
- The Q4 2025 figure represents the lowest quarterly Return on Capital Employed [ROCE] in data going back to Q2 2022.
- Year-over-year, Return on Capital Employed [ROCE] has declined for six consecutive quarters, with an average year-over-year change of -68.33 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q3 2023 (a gain of 137.47 percentage points), and the weakest in Q4 2025 (a drop of 257.71 percentage points).
- Business Quant data shows VGTK's Return on Capital Employed [ROCE] at -146.83% (Q3 2025), -58.29% (Q2 2025) and -111.00% (Q1 2025) in the three quarters before Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 212.47 Bn | 164.72 Bn | 3.11 Bn | 13.43% |
| 2 | Bloom Energy | 56.73 Bn | 46.66 Bn | 417.10 Mn | 12.05% |
| 3 | First Solar | 18.42 Bn | 9.79 Bn | 713.06 Mn | 16.24% |
| 4 | Nextpower | 14.32 Bn | 10.03 Bn | 345.32 Mn | 23.66% |
| 5 | BWX Technologies | 11.27 Bn | 9.04 Bn | 227.14 Mn | 12.27% |
| 6 | Generac Holdings | 11.25 Bn | 9.99 Bn | 516.04 Mn | 10.55% |
| 7 | Innio | 10.93 Bn | 7.17 Bn | 367.70 Mn | 10.44% |
| 8 | EnerSys | 5.13 Bn | 3.44 Bn | 284.35 Mn | 16.98% |
| 9 | Mirion Technologies | 4.30 Bn | 2.71 Bn | 131.50 Mn | 2.00% |
| 10 | Viking Global Technologies | 26,800.00 | 5.18 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -337.42% |
| Sep 30, 2025 | -146.83% |
| Jun 30, 2025 | -58.29% |
| Mar 31, 2025 | -111.00% |
| Dec 31, 2024 | -79.71% |
| Sep 30, 2024 | -30.90% |
| Jun 30, 2024 | -18.78% |
| Mar 31, 2024 | -16.47% |
| Dec 31, 2023 | -13.49% |
| Sep 30, 2023 | -20.15% |
| Jun 30, 2023 | -40.86% |
| Mar 31, 2023 | -32.39% |
| Dec 31, 2022 | -42.13% |
| Sep 30, 2022 | -157.62% |
| Jun 30, 2022 | -72.85% |
| Dec 31, 2019 | -33.00% |
| Sep 30, 2019 | -37.43% |
| Jun 30, 2019 | 318.95% |
| Dec 31, 2018 | 233.84% |
| Sep 30, 2018 | 129.34% |
Viking Global Technologies Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=VGTK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=VGTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();