Mercury Systems (MRCY) Return on Capital Employed [ROCE] (2011 - 2026)
Mercury Systems' Return on Capital Employed [ROCE] came in at 0.01% for fiscal Q4 2026 (quarter ended Jul 3, 2026), up 0.94 percentage points from -0.92% a year earlier but down 0.42 percentage points from the prior quarter.
Mercury Systems (MRCY) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
Going back to fiscal Q1 2012, Mercury Systems' Return on Capital Employed [ROCE] data covers 60 quarters.
- Return on Capital Employed [ROCE] carries a five-year change of -4.95 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Capital Employed [ROCE] was -0.93% in FY2025 (+5.94 pp), -6.87% in FY2024 (-5.84 pp), -1.03% in FY2023 (-2.66 pp) and 1.63% in FY2022 (-3.33 pp).
- The five-year range for quarterly Return on Capital Employed [ROCE] is -6.89% (fiscal Q4 2024) to 3.16% (fiscal Q1 2022).
- Year-over-year, Return on Capital Employed [ROCE] has increased for seven consecutive quarters, with an average year-over-year change of +2.49 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in fiscal Q4 2025 (a gain of 5.97 percentage points), and the weakest in fiscal Q3 2024 (a drop of 7.45 percentage points).
- Business Quant data shows MRCY's Return on Capital Employed [ROCE] at 0.44% (Q3 2026), -0.63% (Q2 2026) and -0.70% (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | -26.86% |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 9.62% |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 8.25% |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 24.71% |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 22.99% |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 13.87% |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 22.44% |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 12.41% |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 15.09% |
| 10 | Mercury Systems | 5.06 Bn | 3.87 Bn | 88.58 Mn | 0.01% |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 0.01% |
| Mar 27, 2026 | 0.44% |
| Dec 26, 2025 | -0.63% |
| Sep 26, 2025 | -0.70% |
| Jun 27, 2025 | -0.92% |
| Mar 28, 2025 | -2.42% |
| Dec 27, 2024 | -3.76% |
| Sep 27, 2024 | -5.65% |
| Jun 28, 2024 | -6.89% |
| Mar 29, 2024 | -6.76% |
| Dec 29, 2023 | -4.61% |
| Sep 29, 2023 | -2.50% |
| Jun 30, 2023 | -1.01% |
| Mar 31, 2023 | 0.69% |
| Dec 30, 2022 | 1.06% |
| Sep 30, 2022 | 1.40% |
| Jul 1, 2022 | 1.51% |
| Apr 1, 2022 | 1.28% |
| Dec 31, 2021 | 1.97% |
| Oct 1, 2021 | 3.16% |
Mercury Systems Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=MRCY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=MRCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();