VirTra (VTSI) Depreciation and Depletion (2017 - 2026)
VirTra (VTSI) recorded Depreciation and Depletion of $399,725 in Q2 2026, down 8.2% from $435,461 a year earlier but up 12.7% from the prior quarter.
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Analysis
VirTra (VTSI) Depreciation and Depletion (2017 - 2026) Analysis & Trends
On a TTM basis, VirTra's Depreciation and Depletion came in at $318,794 as of Jun 30, 2026, down 76.5% year-over-year; for FY2025, it came in at $314,418, down 72.1% from FY2024.
- Annual Depreciation and Depletion has a five-year compound annual growth rate of -3.3% (FY2020 to FY2025).
- Across earlier years, Depreciation and Depletion came in at $1.13 million in FY2024 (+24.2%), $908,308 in FY2023 (+10.9%), $818,816 in FY2022 (+39.9%) and $585,279 in FY2021 (+57.6%).
- Quarterly Depreciation and Depletion has ranged from -$786,595 in Q4 2025 to $435,461 in Q2 2025 over the past five years.
- On a year-over-year basis, Depreciation and Depletion rose in six of the last seven quarters, with growth averaging 25.5%.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 160.0% in Q3 2022, against a decline of 98.3% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $354,530 (Q1 2026), -$786,595 (Q4 2025) and $351,134 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (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 | 175.00 Mn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 53.00 Mn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 156.00 Mn |
| 10 | VirTra | 31.58 Mn | -39.94 Mn | 3.42 Mn | 399,725.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 399,725.00 |
| Mar 31, 2026 | 354,530.00 |
| Dec 31, 2025 | -786,595.00 |
| Sep 30, 2025 | 351,134.00 |
| Jun 30, 2025 | 435,461.00 |
| Mar 31, 2025 | 314,418.00 |
| Dec 31, 2024 | 300,093.00 |
| Sep 30, 2024 | 307,195.00 |
| Jun 30, 2024 | 286,309.00 |
| Mar 31, 2024 | 234,324.00 |
| Dec 31, 2023 | 225,524.00 |
| Sep 30, 2023 | 219,179.00 |
| Jun 30, 2023 | 268,571.00 |
| Mar 31, 2023 | 195,034.00 |
| Dec 31, 2022 | 221,041.00 |
| Sep 30, 2022 | 401,064.00 |
| Jun 30, 2022 | 1,680.00 |
| Mar 31, 2022 | 195,031.00 |
| Dec 31, 2021 | 234,316.00 |
| Sep 30, 2021 | 154,252.00 |
API Access
VirTra Depreciation and Depletion 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-depletion&ticker=VTSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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-depletion&ticker=VTSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();