VirTra (VTSI) Return on Sales [ROS] (2016 - 2026)
VirTra (VTSI) recorded Return on Sales [ROS] of -3.25% in Q2 2026, down 16.35 percentage points from 13.10% a year earlier but up 34.97 percentage points from the prior quarter.
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Analysis
VirTra (VTSI) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
On a TTM basis, VirTra's Return on Sales [ROS] came in at -19.20% as of Jun 30, 2026, down 25.66 percentage points year-over-year; for FY2025, it came in at 1.95%, down 5.62 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -4.47 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 7.58% in FY2024 (-18.24 pp), 25.82% in FY2023 (+16.65 pp), 9.16% in FY2022 (+3.21 pp) and 5.95% in FY2021 (-0.47 pp).
- Quarterly Return on Sales [ROS] has ranged from -47.87% in Q4 2025 to 34.62% in Q1 2023 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has declined for five consecutive quarters, with an average year-over-year change of -21.81 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 43.94 percentage points in Q3 2023, against a drop of 57.33 percentage points in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at -38.23% (Q1 2026), -47.87% (Q4 2025) and -8.41% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | -46.33% |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 11.38% |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 0.64% |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 12.36% |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 27.92% |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 10.36% |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 25.82% |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 10.08% |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 18.37% |
| 10 | VirTra | 31.58 Mn | -39.94 Mn | 3.42 Mn | -3.25% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3.25% |
| Mar 31, 2026 | -38.23% |
| Dec 31, 2025 | -47.87% |
| Sep 30, 2025 | -8.41% |
| Jun 30, 2025 | 13.10% |
| Mar 31, 2025 | 19.10% |
| Dec 31, 2024 | -23.67% |
| Sep 30, 2024 | 10.10% |
| Jun 30, 2024 | 18.62% |
| Mar 31, 2024 | 8.85% |
| Dec 31, 2023 | 27.16% |
| Sep 30, 2023 | 22.08% |
| Jun 30, 2023 | 18.66% |
| Mar 31, 2023 | 34.62% |
| Dec 31, 2022 | 22.12% |
| Sep 30, 2022 | -21.86% |
| Jun 30, 2022 | 13.02% |
| Mar 31, 2022 | 10.53% |
| Dec 31, 2021 | -2.27% |
| Sep 30, 2021 | 4.36% |
API Access
VirTra 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=VTSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=VTSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();