Mercury Systems (MRCY) Return on Sales [ROS] (2010 - 2026)
Mercury Systems' Return on Sales [ROS] came in at 4.99% for fiscal Q4 2026 (quarter ended Jul 3, 2026), down 3.63 percentage points from 8.62% a year earlier but up 2.77 percentage points from the prior quarter.
Mercury Systems (MRCY) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For FY2026 (ended Jul 3, 2026), Mercury Systems' Return on Sales [ROS] was 0.03%, up 2.18 percentage points from FY2025.
- Return on Sales [ROS] carries a five-year change of -8.74 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Sales [ROS] was -2.15% in FY2025 (+15.54 pp), -17.69% in FY2024 (-15.46 pp), -2.23% in FY2023 (-5.43 pp) and 3.20% in FY2022 (-5.57 pp).
- The five-year range for quarterly Return on Sales [ROS] is -27.31% (fiscal Q2 2024) to 9.53% (fiscal Q4 2022).
- Year-over-year, Return on Sales [ROS] increased in seven of the last eight quarters, with an average year-over-year change of +9.17 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in fiscal Q2 2025 (a gain of 21.75 percentage points), and the weakest in fiscal Q2 2024 (a drop of 24.02 percentage points).
- Business Quant data shows MRCY's Return on Sales [ROS] at 2.22% (Q3 2026), -4.65% (Q2 2026) and -3.82% (Q1 2026) in the three fiscal quarters before Q4 2026.
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 | Mercury Systems | 5.06 Bn | 3.87 Bn | 88.58 Mn | 4.99% |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 4.99% |
| Mar 27, 2026 | 2.22% |
| Dec 26, 2025 | -4.65% |
| Sep 26, 2025 | -3.82% |
| Jun 27, 2025 | 8.62% |
| Mar 28, 2025 | -8.21% |
| Dec 27, 2024 | -5.56% |
| Sep 27, 2024 | -6.56% |
| Jun 28, 2024 | -3.21% |
| Mar 29, 2024 | -21.92% |
| Dec 29, 2023 | -27.31% |
| Sep 29, 2023 | -22.21% |
| Jun 30, 2023 | -3.51% |
| Mar 31, 2023 | 0.74% |
| Dec 30, 2022 | -3.29% |
| Sep 30, 2022 | -3.16% |
| Jul 1, 2022 | 9.53% |
| Apr 1, 2022 | 3.93% |
| Dec 31, 2021 | -0.18% |
| Oct 1, 2021 | -2.48% |
Mercury Systems 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=MRCY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "MRCY", "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=MRCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();