VirTra (VTSI) Return on Capital Employed [ROCE] (2017 - 2026)
VirTra (VTSI) recorded Return on Capital Employed [ROCE] of -6.13% in Q2 2026, down 9.19 percentage points from 3.07% a year earlier and down 1.96 percentage points from the prior quarter.
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Analysis
VirTra (VTSI) Return on Capital Employed [ROCE] (2017 - 2026) Analysis & Trends
For FY2025, VirTra reported Return on Capital Employed [ROCE] of 0.80%, down 2.64 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a five-year change of -8.75 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at 3.44% in FY2024 (-17.89 pp), 21.33% in FY2023 (+15.15 pp), 6.18% in FY2022 (+1.10 pp) and 5.08% in FY2021 (-4.46 pp).
- The Q2 2026 figure is the lowest quarterly Return on Capital Employed [ROCE] since Q3 2019.
- On a year-over-year basis, Return on Capital Employed [ROCE] has declined for nine consecutive quarters, with an average year-over-year change of -8.54 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 16.79 percentage points in Q3 2023, against a drop of 16.17 percentage points in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at -4.17% (Q1 2026), 0.79% (Q4 2025) and 0.95% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | -26.86% |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 9.62% |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 8.25% |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 24.71% |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 22.99% |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 13.87% |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 22.44% |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 12.41% |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 15.09% |
| 10 | VirTra | 31.58 Mn | -39.94 Mn | 3.42 Mn | -6.13% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -6.13% |
| Mar 31, 2026 | -4.17% |
| Dec 31, 2025 | 0.79% |
| Sep 30, 2025 | 0.95% |
| Jun 30, 2025 | 3.07% |
| Mar 31, 2025 | 3.52% |
| Dec 31, 2024 | 2.23% |
| Sep 30, 2024 | 9.38% |
| Jun 30, 2024 | 10.78% |
| Mar 31, 2024 | 12.72% |
| Dec 31, 2023 | 18.41% |
| Sep 30, 2023 | 17.86% |
| Jun 30, 2023 | 13.90% |
| Mar 31, 2023 | 11.82% |
| Dec 31, 2022 | 6.08% |
| Sep 30, 2022 | 1.07% |
| Jun 30, 2022 | 4.20% |
| Mar 31, 2022 | 3.83% |
| Dec 31, 2021 | 3.30% |
| Sep 30, 2021 | 7.96% |
API Access
VirTra 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=VTSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "VTSI", "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=VTSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();