V2X (VVX) Depreciation and Depletion (2013 - 2026)
V2X (VVX) posted Depreciation and Depletion of $4.11 million for Q2 2026, up 4.7% from $3.93 million a year earlier and up 3.7% from the prior quarter.
V2X (VVX) Depreciation and Depletion (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jul 3, 2026, Depreciation and Depletion at V2X was $16.88 million, down 1.0% year-over-year; for FY2025, it came in at $16.98 million, down 18.1% from FY2024.
- Annual Depreciation and Depletion shows a five-year compound annual growth rate of 32.9% (FY2020 to FY2025).
- In prior years, V2X's Depreciation and Depletion was $20.75 million in FY2024 (-7.4%), $22.41 million in FY2023 (+66.3%), $13.47 million in FY2022 (+106.4%) and $6.53 million in FY2021 (+59.3%).
- Quarterly Depreciation and Depletion has run from a low of $1.59 million in Q1 2022 to a high of $6.24 million in Q1 2024 over five years.
- On a year-over-year basis, Depreciation and Depletion increased in two of the last eight quarters, with an average decline of 13.0%.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q2 2023, with growth of 259.1%; the weakest was Q1 2025, with a decline of 31.9%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $3.96 million (Q1 2026), $4.52 million (Q4 2025) and $4.29 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.20 Bn | 278.20 Bn | 4.68 Bn | - |
| 2 | Rtx | 249.38 Bn | 222.59 Bn | 5.13 Bn | - |
| 3 | Boeing | 152.06 Bn | 58.76 Bn | 2.41 Bn | - |
| 4 | Lockheed Martin | 116.66 Bn | 103.39 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 91.36 Bn | 86.97 Bn | 951.00 Mn | - |
| 6 | General Dynamics | 90.03 Bn | 77.14 Bn | 2.18 Bn | 175.00 Mn |
| 7 | Motorola Solutions | 74.17 Bn | 70.53 Bn | 1.68 Bn | 53.00 Mn |
| 8 | Northrop Grumman | 68.46 Bn | 57.71 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 67.76 Bn | 20.21 Bn | 3.65 Bn | 156.00 Mn |
| 10 | V2X | 2.22 Bn | 1.24 Bn | 109.50 Mn | 4.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 4.11 Mn |
| Apr 3, 2026 | 3.96 Mn |
| Dec 31, 2025 | 4.52 Mn |
| Sep 26, 2025 | 4.29 Mn |
| Jun 27, 2025 | 3.93 Mn |
| Mar 28, 2025 | 4.25 Mn |
| Dec 31, 2024 | 4.31 Mn |
| Sep 27, 2024 | 4.57 Mn |
| Jun 28, 2024 | 5.63 Mn |
| Mar 29, 2024 | 6.24 Mn |
| Dec 31, 2023 | 5.88 Mn |
| Sep 29, 2023 | 5.21 Mn |
| Jun 30, 2023 | 5.91 Mn |
| Mar 31, 2023 | 5.41 Mn |
| Dec 31, 2022 | 4.81 Mn |
| Sep 30, 2022 | 5.43 Mn |
| Jul 1, 2022 | 1.65 Mn |
| Apr 1, 2022 | 1.59 Mn |
| Dec 31, 2021 | 1.74 Mn |
| Oct 1, 2021 | 1.69 Mn |
V2X 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=VVX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=VVX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();