V2X (VVX) Cash & Equivalents (2019 - 2026)
V2X's Cash & Equivalents came in at $214.31 million for Q2 2026, up 12.5% from $190.46 million a year earlier and up 2.7% from the prior quarter.
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Analysis
V2X (VVX) Cash & Equivalents (2019 - 2026) Analysis & Trends
At the end of FY2025, V2X's Cash & Equivalents was $368.99 million, up 37.5% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of 40.0% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $268.32 million in FY2024 (+269.3%), $72.65 million in FY2023 (-37.4%), $116.07 million in FY2022 (+201.4%) and $38.51 million in FY2021 (-44.0%).
- The five-year range for quarterly Cash & Equivalents is $23 million (Q1 2022) to $368.99 million (Q4 2025).
- Year-over-year, Cash & Equivalents has increased for seven consecutive quarters, with growth averaging 152.9% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q1 2025 (growth of 374.1%), and the weakest in Q2 2022 (a decline of 54.5%).
- Business Quant data shows VVX's Cash & Equivalents at $208.7 million (Q1 2026), $368.99 million (Q4 2025) and $182.32 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.20 Bn | 278.20 Bn | 4.68 Bn | 9.35 Bn |
| 2 | Rtx | 249.38 Bn | 222.59 Bn | 5.13 Bn | 8.31 Bn |
| 3 | Boeing | 152.06 Bn | 58.76 Bn | 2.41 Bn | 7.24 Bn |
| 4 | Lockheed Martin | 116.66 Bn | 103.39 Bn | 2.45 Bn | 3.79 Bn |
| 5 | Howmet Aerospace | 91.36 Bn | 86.97 Bn | 951.00 Mn | 563.00 Mn |
| 6 | General Dynamics | 90.03 Bn | 77.14 Bn | 2.18 Bn | 4.33 Bn |
| 7 | Motorola Solutions | 74.17 Bn | 70.53 Bn | 1.68 Bn | 710.00 Mn |
| 8 | Northrop Grumman | 68.46 Bn | 57.71 Bn | 2.12 Bn | 2.31 Bn |
| 9 | Honeywell International | 67.76 Bn | 20.21 Bn | 3.65 Bn | 8.75 Bn |
| 10 | V2X | 2.22 Bn | 1.24 Bn | 109.50 Mn | 214.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 214.31 Mn |
| Apr 3, 2026 | 208.70 Mn |
| Dec 31, 2025 | 368.99 Mn |
| Sep 26, 2025 | 182.32 Mn |
| Jun 27, 2025 | 190.46 Mn |
| Mar 28, 2025 | 169.06 Mn |
| Dec 31, 2024 | 268.32 Mn |
| Sep 27, 2024 | 59.86 Mn |
| Jun 28, 2024 | 44.77 Mn |
| Mar 29, 2024 | 35.66 Mn |
| Dec 31, 2023 | 72.65 Mn |
| Sep 29, 2023 | 78.26 Mn |
| Jun 30, 2023 | 70.31 Mn |
| Mar 31, 2023 | 62.15 Mn |
| Dec 31, 2022 | 116.07 Mn |
| Sep 30, 2022 | 147.37 Mn |
| Jul 1, 2022 | 31.76 Mn |
| Apr 1, 2022 | 23.00 Mn |
| Dec 31, 2021 | 38.51 Mn |
| Oct 1, 2021 | 56.23 Mn |
API Access
V2X Cash & Equivalents 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=cash-and-equivalents&ticker=VVX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=VVX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();