VirTra (VTSI) Other Accumulated Expenses (2016 - 2026)
VirTra (VTSI) posted Other Accumulated Expenses of $167,090 for Q2 2026, down 9.2% from $184,034 a year earlier and down 8.9% from the prior quarter.
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Analysis
VirTra (VTSI) Other Accumulated Expenses (2016 - 2026) Analysis & Trends
At the end of FY2025, VirTra's Other Accumulated Expenses came in at $219,449, down 50.7% from FY2024.
- Annual Other Accumulated Expenses shows a four-year compound annual growth rate of 165.4% (FY2021 to FY2025).
- In prior years, VirTra's Other Accumulated Expenses was $445,114 in FY2024 and $4,420 in FY2021.
- Quarterly Other Accumulated Expenses has run from a low of $4,113 in Q2 2022 to a high of $445,114 in Q4 2024 over five years.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $183,354 (Q1 2026), $219,449 (Q4 2025) and $152,555 (Q3 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 |
|---|---|
| Jun 30, 2026 | 167,090.00 |
| Mar 31, 2026 | 183,354.00 |
| Dec 31, 2025 | 219,449.00 |
| Sep 30, 2025 | 152,555.00 |
| Jun 30, 2025 | 184,034.00 |
| Dec 31, 2024 | 445,114.00 |
| Sep 30, 2022 | 4,143.00 |
| Jun 30, 2022 | 4,113.00 |
| Mar 31, 2022 | 4,455.00 |
| Dec 31, 2021 | 4,420.00 |
| Sep 30, 2017 | 31,643.00 |
| Dec 31, 2016 | 40,000.00 |
API Access
VirTra Other Accumulated Expenses 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=other-accumulated-expenses&ticker=VTSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=VTSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();