VirTra (VTSI) Retained Earnings (2016 - 2026)
VirTra's Retained Earnings was $10.95 million in Q2 2026, down 23.0% from $14.21 million a year earlier and down 2.3% from the prior quarter.
Analysis
VirTra (VTSI) Retained Earnings (2016 - 2026) Analysis & Trends
At the end of FY2025, Retained Earnings at VirTra came in at $12.53 million, up 2.1% from FY2024.
- Retained Earnings has now increased for four consecutive years.
- In earlier years, Retained Earnings was $12.28 million in FY2024 (+7.6%), $11.41 million in FY2023 (+404.9%), $2.26 million in FY2022 (+642.9%) and $304,237 in FY2021.
- The Q2 2026 figure marks the lowest quarterly Retained Earnings since Q3 2023.
- Compared with a year earlier, Retained Earnings was higher in six of the last eight quarters, with growth averaging 8.5%.
- The best year-over-year quarter for Retained Earnings over five years was Q3 2023 (growth of 808.7%); the worst was Q2 2026 (a decline of 23.0%).
- Per Business Quant data, VTSI's Retained Earnings in the three quarters before Q2 2026 was $11.21 million (Q1 2026), $12.53 million (Q4 2025) and $13.83 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 90.95 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 58.02 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 16.63 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 15.76 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 5.11 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 45.50 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 2.63 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 17.84 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 55.96 Bn |
| 10 | VirTra | 30.79 Mn | -40.74 Mn | 3.42 Mn | 10.95 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.95 Mn |
| Mar 31, 2026 | 11.21 Mn |
| Dec 31, 2025 | 12.53 Mn |
| Sep 30, 2025 | 13.83 Mn |
| Jun 30, 2025 | 14.21 Mn |
| Mar 31, 2025 | 14.04 Mn |
| Dec 31, 2024 | 12.28 Mn |
| Sep 30, 2024 | 13.66 Mn |
| Jun 30, 2024 | 13.08 Mn |
| Mar 31, 2024 | 11.88 Mn |
| Dec 31, 2023 | 11.41 Mn |
| Sep 30, 2023 | 7.87 Mn |
| Jun 30, 2023 | 6.23 Mn |
| Mar 31, 2023 | 5.21 Mn |
| Dec 31, 2022 | 2.26 Mn |
| Sep 30, 2022 | 865,804.00 |
| Jun 30, 2022 | 1.67 Mn |
| Mar 31, 2022 | 881,311.00 |
| Dec 31, 2021 | 304,237.00 |
| Sep 30, 2021 | 291,642.00 |
API Access
VirTra Retained Earnings 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=retained-earnings&ticker=VTSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=VTSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();