VirTra (VTSI) Receivables (2016 - 2026)
VirTra (VTSI) reported Receivables of $7.64 million for Q2 2026, down 4.9% from $8.03 million a year earlier but up 45.8% from the prior quarter.
Powered by 
Analysis
VirTra (VTSI) Receivables (2016 - 2026) Analysis & Trends
At the end of FY2025, VirTra posted Receivables of $6.37 million, down 36.8% from FY2024.
- Receivables has a five-year compound annual growth rate of -1.3% (FY2020 to FY2025).
- By year, Receivables came in at $10.08 million in FY2024 (-42.7%), $17.58 million in FY2023 (+67.6%), $10.49 million in FY2022 (+33.7%) and $7.84 million in FY2021 (+15.6%).
- Five-year quarterly Receivables spans a low of $5.24 million in Q1 2026 and a high of $20.35 million in Q2 2023.
- Year over year, Receivables has now declined in each of the last ten quarters, with an average decline of 30.4% over the last eight quarters.
- The high point for year-over-year Receivables in five years was Q3 2023 (growth of 166.7%); the low point was Q1 2026 (a decline of 52.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $5.24 million (Q1 2026), $6.37 million (Q4 2025) and $6.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn | 15.83 Bn |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn | 32.92 Bn |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn | 13.18 Bn |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn | 19.39 Bn |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn | 1.04 Bn |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn | 48.50 Bn |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn | 3.62 Bn |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn | 10.26 Bn |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn | 10.85 Bn |
| 10 | VirTra | 30.68 Mn | -40.85 Mn | 3.42 Mn | 7.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.64 Mn |
| Mar 31, 2026 | 5.24 Mn |
| Dec 31, 2025 | 6.37 Mn |
| Sep 30, 2025 | 6.60 Mn |
| Jun 30, 2025 | 8.03 Mn |
| Mar 31, 2025 | 11.01 Mn |
| Dec 31, 2024 | 10.08 Mn |
| Sep 30, 2024 | 9.48 Mn |
| Jun 30, 2024 | 10.51 Mn |
| Mar 31, 2024 | 11.98 Mn |
| Dec 31, 2023 | 17.58 Mn |
| Sep 30, 2023 | 17.13 Mn |
| Jun 30, 2023 | 20.35 Mn |
| Mar 31, 2023 | 12.61 Mn |
| Dec 31, 2022 | 10.49 Mn |
| Sep 30, 2022 | 6.42 Mn |
| Jun 30, 2022 | 11.21 Mn |
| Mar 31, 2022 | 10.97 Mn |
| Dec 31, 2021 | 7.84 Mn |
| Sep 30, 2021 | 9.24 Mn |
API Access
VirTra Receivables 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=receivables&ticker=VTSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=VTSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();