Vse (VSEC) Cost of Revenue (2010 - 2026)
Vse's Cost of Revenue came in at $372.7 million for Q2 2026, up 58.8% from $234.62 million a year earlier and up 34.8% from the prior quarter.
Vse (VSEC) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Vse reported Cost of Revenue of $1.15 billion, up 37.7% year-over-year; for FY2025, it came in at $954.15 million, up 39.5% from FY2024.
- Cost of Revenue carries a five-year compound annual growth rate of 10.2% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $684.04 million in FY2024 (+44.0%), $475.01 million in FY2023 (-20.4%), $596.47 million in FY2022 (+28.3%) and $464.88 million in FY2021 (-20.7%).
- The Q2 2026 figure represents the highest quarterly Cost of Revenue since Q4 2017.
- Year-over-year, Cost of Revenue has increased for six consecutive quarters, with growth averaging 33.5% over the last seven quarters.
- The fastest year-over-year change in Cost of Revenue over five years came in Q2 2026 (growth of 58.8%), and the weakest in Q1 2023 (a decline of 22.4%).
- Business Quant data shows VSEC's Cost of Revenue at $276.58 million (Q1 2026), $254.26 million (Q4 2025) and $242.17 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 8.67 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 19.58 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 22.15 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 17.62 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 1.60 Bn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 11.91 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 1.46 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 8.76 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 6.07 Bn |
| 10 | Vse | 4.69 Bn | 3.30 Bn | 76.44 Mn | 372.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 372.70 Mn |
| Mar 31, 2026 | 276.58 Mn |
| Dec 31, 2025 | 254.26 Mn |
| Sep 30, 2025 | 242.17 Mn |
| Jun 30, 2025 | 234.62 Mn |
| Mar 31, 2025 | 223.10 Mn |
| Dec 31, 2024 | 197.41 Mn |
| Sep 30, 2024 | 176.90 Mn |
| Jun 30, 2024 | 169.26 Mn |
| Mar 31, 2024 | 140.47 Mn |
| Dec 31, 2023 | -70.61 Mn |
| Sep 30, 2023 | 200.33 Mn |
| Jun 30, 2023 | 179.47 Mn |
| Mar 31, 2023 | 165.83 Mn |
| Dec 31, 2022 | 150.37 Mn |
| Sep 30, 2022 | 147.86 Mn |
| Jun 30, 2022 | 154.74 Mn |
| Mar 31, 2022 | 213.68 Mn |
| Dec 31, 2021 | -49.31 Mn |
| Sep 30, 2021 | 180.96 Mn |
Vse Cost of Revenue 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=cost-of-revenue&ticker=VSEC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "VSEC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cost-of-revenue&ticker=VSEC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();