VirTra (VTSI) Depreciation & Amortization (CF) (2016 - 2026)
VirTra's Depreciation & Amortization (CF) was $520,367 in Q2 2026, up 1.4% from $513,201 a year earlier and up 10.7% from the prior quarter.
VirTra (VTSI) Depreciation & Amortization (CF) (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, VirTra's Depreciation & Amortization (CF) was $1.92 million through Jun 30, 2026, up 33.4% year-over-year; for FY2025, it came in at $1.76 million, up 55.0% from FY2024.
- Depreciation & Amortization (CF) has now increased for nine consecutive years, with a five-year compound annual growth rate of 35.9% (FY2020 to FY2025).
- In earlier years, Depreciation & Amortization (CF) was $1.14 million in FY2024 (+22.4%), $928,545 in FY2023 (+4.7%), $887,118 in FY2022 (+50.6%) and $589,059 in FY2021 (+55.0%).
- Quarterly Depreciation & Amortization (CF) has moved between $122,566 (Q3 2025) and $810,061 (Q4 2025) over five years.
- Compared with a year earlier, Depreciation & Amortization (CF) has increased for three straight quarters, with growth averaging 42.7% over the last eight quarters.
- The best year-over-year quarter for Depreciation & Amortization (CF) over five years was Q4 2025 (growth of 167.9%); the worst was Q3 2025 (a decline of 60.4%).
- Per Business Quant data, VTSI's Depreciation & Amortization (CF) in the three quarters before Q2 2026 was $470,027 (Q1 2026), $810,061 (Q4 2025) and $122,566 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.20 Bn | 278.20 Bn | 4.68 Bn | 224.00 Mn |
| 2 | Rtx | 249.38 Bn | 222.59 Bn | 5.13 Bn | 1.08 Bn |
| 3 | Boeing | 152.06 Bn | 58.76 Bn | 2.41 Bn | 596.00 Mn |
| 4 | Lockheed Martin | 116.66 Bn | 103.39 Bn | 2.45 Bn | 400.00 Mn |
| 5 | Howmet Aerospace | 91.36 Bn | 86.97 Bn | 951.00 Mn | 84.00 Mn |
| 6 | General Dynamics | 90.03 Bn | 77.14 Bn | 2.18 Bn | 175.00 Mn |
| 7 | Motorola Solutions | 74.17 Bn | 70.53 Bn | 1.68 Bn | 148.00 Mn |
| 8 | Northrop Grumman | 68.46 Bn | 57.71 Bn | 2.12 Bn | 367.00 Mn |
| 9 | Honeywell International | 67.76 Bn | 20.21 Bn | 3.65 Bn | 156.00 Mn |
| 10 | VirTra | 31.02 Mn | -40.51 Mn | 3.42 Mn | 520,367.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 520,367.00 |
| Mar 31, 2026 | 470,027.00 |
| Dec 31, 2025 | 810,061.00 |
| Sep 30, 2025 | 122,566.00 |
| Jun 30, 2025 | 513,201.00 |
| Mar 31, 2025 | 316,640.00 |
| Dec 31, 2024 | 302,318.00 |
| Sep 30, 2024 | 309,417.00 |
| Jun 30, 2024 | 288,530.00 |
| Mar 31, 2024 | 236,547.00 |
| Dec 31, 2023 | 227,009.00 |
| Sep 30, 2023 | 221,647.00 |
| Jun 30, 2023 | 252,319.00 |
| Mar 31, 2023 | 227,570.00 |
| Dec 31, 2022 | 227,343.00 |
| Sep 30, 2022 | 213,087.00 |
| Jun 30, 2022 | 230,942.00 |
| Mar 31, 2022 | 215,746.00 |
| Dec 31, 2021 | 221,806.00 |
| Sep 30, 2021 | 166,097.00 |
VirTra Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=VTSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=VTSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();