V2X (VVX) Return on Sales [ROS] (2013 - 2026)
V2X (VVX) reported Return on Sales [ROS] of 4.28% for Q2 2026, down 0.63 percentage points from 4.91% a year earlier but up 0.77 percentage points from the prior quarter.
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Analysis
V2X (VVX) Return on Sales [ROS] (2013 - 2026) Analysis & Trends
Over the twelve months ended Jul 3, 2026, V2X's Return on Sales [ROS] came in at 4.19%, down 0.17 percentage points year-over-year; for FY2025, it came in at 4.34%, up 0.65 percentage points from FY2024.
- Return on Sales [ROS] has increased for three consecutive years, with a five-year change of +1.22 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 3.68% in FY2024 (+0.54 pp), 3.14% in FY2023 (+1.21 pp), 1.93% in FY2022 (-1.55 pp) and 3.48% in FY2021 (+0.36 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of 0.47% in Q3 2022 and a high of 4.91% in Q2 2025.
- Year over year, Return on Sales [ROS] gained in six of the last eight quarters, with an average year-over-year change of +0.68 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2024 (a gain of 2.51 percentage points); the low point was Q1 2022 (a drop of 2.66 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 3.52% (Q1 2026), 4.21% (Q4 2025) and 4.77% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | -46.33% |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 11.38% |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 0.64% |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 12.36% |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 27.92% |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 10.36% |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 25.82% |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 10.08% |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 18.37% |
| 10 | V2X | 2.22 Bn | 1.24 Bn | 109.50 Mn | 4.28% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 4.28% |
| Apr 3, 2026 | 3.52% |
| Dec 31, 2025 | 4.21% |
| Sep 26, 2025 | 4.77% |
| Jun 27, 2025 | 4.91% |
| Mar 28, 2025 | 3.38% |
| Dec 31, 2024 | 4.45% |
| Sep 27, 2024 | 4.61% |
| Jun 28, 2024 | 2.56% |
| Mar 29, 2024 | 3.00% |
| Dec 31, 2023 | 3.70% |
| Sep 29, 2023 | 2.10% |
| Jun 30, 2023 | 3.50% |
| Mar 31, 2023 | 3.24% |
| Dec 31, 2022 | 3.17% |
| Sep 30, 2022 | 0.47% |
| Jul 1, 2022 | 3.02% |
| Apr 1, 2022 | 1.15% |
| Dec 31, 2021 | 2.39% |
| Oct 1, 2021 | 2.81% |
API Access
V2X Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=VVX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=VVX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();