V2X (VVX) Tax Provisions (2013 - 2026)
V2X (VVX) posted Tax Provisions of $7.7 million for Q2 2026, up 8.5% from $7.1 million a year earlier and up 67.4% from the prior quarter.
V2X (VVX) Tax Provisions (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jul 3, 2026, Tax Provisions at V2X was $26.26 million, up 76.8% year-over-year; for FY2025, it was $23.02 million, up 453.8% from FY2024.
- Annual Tax Provisions shows a five-year compound annual growth rate of 67.8% (FY2020 to FY2025).
- In prior years, V2X's Tax Provisions was $4.16 million in FY2024, -$1.95 million in FY2023, $8.22 million in FY2022 (-1.0%) and $8.31 million in FY2021 (+379.9%).
- Quarterly Tax Provisions has run from a low of -$5.74 million in Q3 2022 to a high of $10.72 million in Q4 2022 over five years.
- On a year-over-year basis, Tax Provisions has increased in each of the last four quarters, with growth averaging 99.5% over the last five quarters.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q4 2025, with growth of 363.1%; the weakest was Q2 2023, with a decline of 91.9%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $4.6 million (Q1 2026), $5.82 million (Q4 2025) and $8.14 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 407.00 Mn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 493.00 Mn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 63.00 Mn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 342.00 Mn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 115.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 247.00 Mn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 184.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 74.00 Mn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 1.58 Bn |
| 10 | V2X | 2.22 Bn | 1.24 Bn | 109.50 Mn | 7.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 7.70 Mn |
| Apr 3, 2026 | 4.60 Mn |
| Dec 31, 2025 | 5.82 Mn |
| Sep 26, 2025 | 8.14 Mn |
| Jun 27, 2025 | 7.10 Mn |
| Mar 28, 2025 | 2.00 Mn |
| Dec 31, 2024 | 1.26 Mn |
| Sep 27, 2024 | 4.50 Mn |
| Jun 28, 2024 | -1.60 Mn |
| Mar 29, 2024 | -20,000.00 |
| Dec 31, 2023 | 8.46 Mn |
| Sep 29, 2023 | -4.84 Mn |
| Jun 30, 2023 | 210,000.00 |
| Mar 31, 2023 | -5.74 Mn |
| Dec 31, 2022 | 10.72 Mn |
| Sep 30, 2022 | -5.74 Mn |
| Jul 1, 2022 | 2.60 Mn |
| Apr 1, 2022 | 701,000.00 |
| Dec 31, 2021 | 684,000.00 |
| Oct 1, 2021 | 700,000.00 |
V2X Tax Provisions 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=tax-provisions&ticker=VVX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "VVX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=tax-provisions&ticker=VVX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();