VirTra (VTSI) Current Assets (2016 - 2026)
VirTra (VTSI) posted Current Assets of $38.19 million for Q2 2026, down 13.5% from $44.15 million a year earlier and down 2.7% from the prior quarter.
Analysis
VirTra (VTSI) Current Assets (2016 - 2026) Analysis & Trends
At the end of FY2025, VirTra's Current Assets came in at $41.02 million, down 6.7% from FY2024.
- Annual Current Assets shows a five-year compound annual growth rate of 18.5% (FY2020 to FY2025).
- In prior years, VirTra's Current Assets was $43.98 million in FY2024 (-11.6%), $49.74 million in FY2023 (+45.9%), $34.1 million in FY2022 (+1.8%) and $33.51 million in FY2021 (+91.2%).
- The Q2 2026 figure stands as the lowest quarterly Current Assets since Q1 2023.
- On a year-over-year basis, Current Assets has declined in each of the last eight quarters, with an average decline of 7.3% over the last eight quarters.
- The strongest year-over-year quarter for Current Assets in the past five years was Q3 2021, with growth of 162.7%; the weakest was Q2 2026, with a decline of 13.5%.
- According to Business Quant data, Current Assets for the three prior quarters was $39.27 million (Q1 2026), $41.02 million (Q4 2025) and $42.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 305.96 Bn | 264.47 Bn | 5.02 Bn | 41.53 Bn |
| 2 | Rtx | 258.78 Bn | 227.05 Bn | 5.81 Bn | 66.07 Bn |
| 3 | Boeing | 152.08 Bn | 58.77 Bn | 2.41 Bn | 124.63 Bn |
| 4 | Lockheed Martin | 127.01 Bn | 113.73 Bn | 2.45 Bn | 28.40 Bn |
| 5 | General Dynamics | 93.41 Bn | 80.52 Bn | 2.18 Bn | 27.04 Bn |
| 6 | Howmet Aerospace | 83.06 Bn | 78.66 Bn | 951.00 Mn | 4.19 Bn |
| 7 | Motorola Solutions | 77.59 Bn | 73.94 Bn | 1.68 Bn | 6.13 Bn |
| 8 | Northrop Grumman | 76.72 Bn | 64.17 Bn | 2.35 Bn | 16.98 Bn |
| 9 | Honeywell International | 68.15 Bn | 20.27 Bn | 3.65 Bn | 28.08 Bn |
| 10 | VirTra | 30.42 Mn | -41.11 Mn | 3.42 Mn | 38.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.19 Mn |
| Mar 31, 2026 | 39.27 Mn |
| Dec 31, 2025 | 41.02 Mn |
| Sep 30, 2025 | 42.60 Mn |
| Jun 30, 2025 | 44.15 Mn |
| Mar 31, 2025 | 45.23 Mn |
| Dec 31, 2024 | 43.98 Mn |
| Sep 30, 2024 | 44.94 Mn |
| Jun 30, 2024 | 44.35 Mn |
| Mar 31, 2024 | 47.52 Mn |
| Dec 31, 2023 | 49.74 Mn |
| Sep 30, 2023 | 46.42 Mn |
| Jun 30, 2023 | 44.21 Mn |
| Mar 31, 2023 | 38.14 Mn |
| Dec 31, 2022 | 34.10 Mn |
| Sep 30, 2022 | 32.57 Mn |
| Jun 30, 2022 | 35.90 Mn |
| Mar 31, 2022 | 34.57 Mn |
| Dec 31, 2021 | 33.51 Mn |
| Sep 30, 2021 | 37.34 Mn |
API Access
VirTra Current Assets 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=current-assets&ticker=VTSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-assets", "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=current-assets&ticker=VTSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();