VirTra (VTSI) Selling, General & Administrative (2016 - 2026)
VirTra's Selling, General & Administrative came in at $3.17 million for Q2 2026, down 3.7% from $3.29 million a year earlier but up 7.0% from the prior quarter.
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Analysis
VirTra (VTSI) Selling, General & Administrative (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, VirTra reported Selling, General & Administrative of $12 million, down 11.8% year-over-year; for FY2025, it was $12.38 million, down 14.1% from FY2024.
- Selling, General & Administrative carries a five-year compound annual growth rate of 6.4% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $14.41 million in FY2024 (+1.2%), $14.24 million in FY2023 (+28.8%), $11.05 million in FY2022 (+36.7%) and $8.09 million in FY2021 (-10.9%).
- The five-year range for quarterly Selling, General & Administrative is $1.96 million (Q3 2021) to $5.01 million (Q4 2023).
- Year-over-year, Selling, General & Administrative has declined for seven consecutive quarters, with an average decline of 9.6% over the last eight quarters.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q4 2023 (growth of 80.8%), and the weakest in Q4 2024 (a decline of 30.5%).
- Business Quant data shows VTSI's Selling, General & Administrative at $2.96 million (Q1 2026), $2.59 million (Q4 2025) and $3.28 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 1.13 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 1.66 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 1.43 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 148.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 723.00 Mn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 496.00 Mn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 1.03 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 1.34 Bn |
| 10 | VirTra | 31.58 Mn | -39.94 Mn | 3.42 Mn | 3.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.17 Mn |
| Mar 31, 2026 | 2.96 Mn |
| Dec 31, 2025 | 2.59 Mn |
| Sep 30, 2025 | 3.28 Mn |
| Jun 30, 2025 | 3.29 Mn |
| Mar 31, 2025 | 3.22 Mn |
| Dec 31, 2024 | 3.49 Mn |
| Sep 30, 2024 | 3.62 Mn |
| Jun 30, 2024 | 3.54 Mn |
| Mar 31, 2024 | 3.37 Mn |
| Dec 31, 2023 | 5.01 Mn |
| Sep 30, 2023 | 3.23 Mn |
| Jun 30, 2023 | 3.28 Mn |
| Mar 31, 2023 | 2.71 Mn |
| Dec 31, 2022 | 2.77 Mn |
| Sep 30, 2022 | 2.90 Mn |
| Jun 30, 2022 | 3.09 Mn |
| Mar 31, 2022 | 2.30 Mn |
| Dec 31, 2021 | 2.41 Mn |
| Sep 30, 2021 | 1.96 Mn |
API Access
VirTra Selling, General & Administrative 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=selling-general-and-administrative&ticker=VTSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=VTSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();