VirTra (VTSI) EV to FCF (2017 - 2026)
VirTra's (VTSI) EV to FCF came in at 8.73 for Q1 2026, down 7.1% from the prior quarter.
Analysis
VirTra (VTSI) EV to FCF (2017 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, EV to FCF at VirTra was -13.04; for FY2025, it was 9.40.
- In prior years, VirTra's EV to FCF was 15.54 in FY2023.
- The Q1 2026 figure stands as the lowest quarterly EV to FCF in data going back to Q3 2017.
- According to Business Quant data, EV to FCF for the three prior quarters was 9.40 (Q4 2025), 9.36 (Q3 2025) and 12.27 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn |
| 10 | VirTra | 30.79 Mn | -40.74 Mn | 3.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 8.73 |
| Dec 31, 2025 | 9.40 |
| Sep 30, 2025 | 9.36 |
| Jun 30, 2025 | 12.27 |
| Sep 30, 2024 | 23.11 |
| Jun 30, 2024 | 12.78 |
| Mar 31, 2024 | 11.02 |
| Dec 31, 2023 | 15.54 |
| Sep 30, 2023 | 25.63 |
| Sep 30, 2022 | 16.07 |
| Jun 30, 2021 | 16.14 |
| Dec 31, 2020 | 10.71 |
| Mar 31, 2019 | 23.82 |
| Dec 31, 2018 | 11.73 |
| Sep 30, 2018 | 11.89 |
| Jun 30, 2018 | 21.20 |
| Mar 31, 2018 | 43.24 |
| Dec 31, 2017 | 14.56 |
| Sep 30, 2017 | 19.89 |
API Access
VirTra EV to FCF 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=ev-to-fcf&ticker=VTSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "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=ev-to-fcf&ticker=VTSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();