V2X (VVX) Amortizatization of Intangibles (2018 - 2026)
V2X (VVX) reported Amortizatization of Intangibles of $22.9 million for Q2 2026, up 1.5% from $22.56 million a year earlier and unchanged from the prior quarter.
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Analysis
V2X (VVX) Amortizatization of Intangibles (2018 - 2026) Analysis & Trends
Over the twelve months ended Jul 3, 2026, V2X's Amortizatization of Intangibles came in at $91.29 million, up 1.0% year-over-year; for FY2025, it came in at $90.62 million, down 0.2% from FY2024.
- Amortizatization of Intangibles has a five-year compound annual growth rate of 86.4% (FY2020 to FY2025).
- By year, Amortizatization of Intangibles came in at $90.82 million in FY2024 (+0.4%), $90.42 million in FY2023 (+85.9%), $48.64 million in FY2022 (+385.1%) and $10.03 million in FY2021 (+148.9%).
- Five-year quarterly Amortizatization of Intangibles spans a low of $2.1 million in Q2 2022 and a high of $24.2 million in Q3 2022.
- Year over year, Amortizatization of Intangibles has now increased in each of the last three quarters, with growth averaging 0.3% over the last eight quarters.
- The high point for year-over-year Amortizatization of Intangibles in five years was Q2 2023 (growth of 976.4%); the low point was Q2 2022 (a decline of 12.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $22.9 million (Q1 2026), $22.9 million (Q4 2025) and $22.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 88.00 Mn |
| 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 | 43.00 Mn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | - |
| 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 | V2X | 2.22 Bn | 1.24 Bn | 109.50 Mn | 22.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 22.90 Mn |
| Apr 3, 2026 | 22.90 Mn |
| Dec 31, 2025 | 22.90 Mn |
| Sep 26, 2025 | 22.60 Mn |
| Jun 27, 2025 | 22.56 Mn |
| Mar 28, 2025 | 22.56 Mn |
| Dec 31, 2024 | 22.57 Mn |
| Sep 27, 2024 | 22.73 Mn |
| Jun 28, 2024 | 22.99 Mn |
| Mar 29, 2024 | 22.54 Mn |
| Dec 31, 2023 | 22.61 Mn |
| Sep 29, 2023 | 22.61 Mn |
| Jun 30, 2023 | 22.61 Mn |
| Mar 31, 2023 | 22.61 Mn |
| Dec 31, 2022 | 20.05 Mn |
| Sep 30, 2022 | 24.20 Mn |
| Jul 1, 2022 | 2.10 Mn |
| Apr 1, 2022 | 2.30 Mn |
| Dec 31, 2021 | 2.51 Mn |
| Oct 1, 2021 | 2.60 Mn |
API Access
V2X Amortizatization of 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=amortizatization-of-intangibles&ticker=VVX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-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=amortizatization-of-intangibles&ticker=VVX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();