VirTra (VTSI) Price to FCF (2017 - 2026)
VirTra's (VTSI) Price to FCF stood at 15.21 in Q1 2026, down 1.6% from the prior quarter.
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Analysis
VirTra (VTSI) Price to FCF (2017 - 2026) Analysis & Trends
For FY2025, VirTra's Price to FCF came in at 15.45.
- Across earlier years, Price to FCF came in at 18.94 in FY2023.
- Quarterly Price to FCF has ranged from 13.71 in Q1 2024 to 35.65 in Q3 2023 over the past five years.
- Per Business Quant, the preceding three quarters came in at 15.45 (Q4 2025), 14.40 (Q3 2025) and 16.58 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 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 |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn |
| 10 | VirTra | 31.58 Mn | -39.94 Mn | 3.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 15.21 |
| Dec 31, 2025 | 15.45 |
| Sep 30, 2025 | 14.40 |
| Jun 30, 2025 | 16.58 |
| Sep 30, 2024 | 32.16 |
| Jun 30, 2024 | 16.29 |
| Mar 31, 2024 | 13.71 |
| Dec 31, 2023 | 18.94 |
| Sep 30, 2023 | 35.65 |
| Sep 30, 2022 | 21.89 |
| Jun 30, 2021 | 23.03 |
| Dec 31, 2020 | 14.28 |
| Mar 31, 2019 | 27.97 |
| Dec 31, 2018 | 15.63 |
| Sep 30, 2018 | 14.63 |
| Jun 30, 2018 | 24.12 |
| Mar 31, 2018 | 47.55 |
| Dec 31, 2017 | 16.57 |
| Sep 30, 2017 | 22.71 |
API Access
VirTra Price 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=price-to-fcf&ticker=VTSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-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=price-to-fcf&ticker=VTSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();