V2X (VVX) Intangibles (2017 - 2026)
V2X (VVX) posted Intangibles of $194.16 million for Q2 2026, down 30.1% from $277.95 million a year earlier and down 10.5% from the prior quarter.
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Analysis
V2X (VVX) Intangibles (2017 - 2026) Analysis & Trends
At the end of FY2025, V2X's Intangibles came in at $239.76 million, down 25.8% from FY2024.
- Annual Intangibles has declined for three consecutive years, though with a five-year compound annual growth rate of 37.9% (FY2020 to FY2025).
- In prior years, V2X's Intangibles was $323.07 million in FY2024 (-20.7%), $407.53 million in FY2023 (-18.2%), $497.95 million in FY2022 (+647.9%) and $66.58 million in FY2021 (+38.4%).
- The Q2 2026 figure stands as the lowest quarterly Intangibles since Q2 2022.
- On a year-over-year basis, Intangibles has declined in each of the last 12 quarters, with an average decline of 24.4% over the last eight quarters.
- The strongest year-over-year quarter for Intangibles in the past five years was Q3 2022, with growth of 710.5%; the weakest was Q2 2026, with a decline of 30.1%.
- According to Business Quant data, Intangibles for the three prior quarters was $217.06 million (Q1 2026), $239.76 million (Q4 2025) and $262.83 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 4.09 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 31.04 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 1.53 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 1.79 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 869.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 1.28 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 2.95 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 6.41 Bn |
| 10 | V2X | 2.22 Bn | 1.24 Bn | 109.50 Mn | 194.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 194.16 Mn |
| Apr 3, 2026 | 217.06 Mn |
| Dec 31, 2025 | 239.76 Mn |
| Sep 26, 2025 | 262.83 Mn |
| Jun 27, 2025 | 277.95 Mn |
| Mar 28, 2025 | 300.53 Mn |
| Dec 31, 2024 | 323.07 Mn |
| Sep 27, 2024 | 345.71 Mn |
| Jun 28, 2024 | 367.15 Mn |
| Mar 29, 2024 | 389.45 Mn |
| Dec 31, 2023 | 407.53 Mn |
| Sep 29, 2023 | 430.13 Mn |
| Jun 30, 2023 | 452.74 Mn |
| Mar 31, 2023 | 475.35 Mn |
| Dec 31, 2022 | 497.95 Mn |
| Sep 30, 2022 | 559.99 Mn |
| Jul 1, 2022 | 62.16 Mn |
| Apr 1, 2022 | 64.28 Mn |
| Dec 31, 2021 | 66.58 Mn |
| Oct 1, 2021 | 69.09 Mn |
API Access
V2X Intangibles 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=intangibles&ticker=VVX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=VVX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();