V2X (VVX) Receivables (2013 - 2026)
V2X's Receivables came in at $1.48 billion for Q2 2026, up 11.3% from $1.33 billion a year earlier and unchanged from the prior quarter.
Analysis
V2X (VVX) Receivables (2013 - 2026) Analysis & Trends
At the end of FY2025, V2X's Receivables was $1.36 billion, up 2.1% from FY2024.
- Receivables has increased in each of the last eight years, with a five-year compound annual growth rate of 21.3% (FY2020 to FY2025).
- Going back by year, Receivables was $1.33 billion in FY2024 (+4.9%), $1.27 billion in FY2023 (+4.2%), $1.22 billion in FY2022 (+106.7%) and $588.58 million in FY2021 (+13.6%).
- The Q2 2026 figure represents the highest quarterly Receivables in data going back to Q4 2013.
- Year-over-year, Receivables has increased for three consecutive quarters, with growth averaging 2.9% over the last eight quarters.
- The fastest year-over-year change in Receivables over five years came in Q1 2023 (growth of 115.2%), and the weakest in Q1 2025 (a decline of 10.1%).
- Business Quant data shows VVX's Receivables at $1.48 billion (Q1 2026), $1.36 billion (Q4 2025) and $1.41 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 15.83 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 32.92 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 13.18 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 19.39 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 1.04 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 48.50 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 3.62 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 10.26 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 10.85 Bn |
| 10 | V2X | 2.22 Bn | 1.24 Bn | 109.50 Mn | 1.48 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 1.48 Bn |
| Apr 3, 2026 | 1.48 Bn |
| Dec 31, 2025 | 1.36 Bn |
| Sep 26, 2025 | 1.41 Bn |
| Jun 27, 2025 | 1.33 Bn |
| Mar 28, 2025 | 1.30 Bn |
| Dec 31, 2024 | 1.33 Bn |
| Sep 27, 2024 | 1.41 Bn |
| Jun 28, 2024 | 1.44 Bn |
| Mar 29, 2024 | 1.45 Bn |
| Dec 31, 2023 | 1.27 Bn |
| Sep 29, 2023 | 1.29 Bn |
| Jun 30, 2023 | 1.32 Bn |
| Mar 31, 2023 | 1.32 Bn |
| Dec 31, 2022 | 1.22 Bn |
| Sep 30, 2022 | 1.18 Bn |
| Jul 1, 2022 | 652.56 Mn |
| Apr 1, 2022 | 612.91 Mn |
| Dec 31, 2021 | 588.58 Mn |
| Oct 1, 2021 | 586.37 Mn |
API Access
V2X Receivables 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=receivables&ticker=VVX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=VVX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();