Mercury Systems (MRCY) Operating Expenses (2010 - 2026)
Mercury Systems (MRCY) recorded Operating Expenses of $74.12 million in fiscal Q4 2026 (quarter ended Jul 3, 2026), up 21.1% from $61.22 million a year earlier and up 16.1% from the prior quarter.
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Analysis
Mercury Systems (MRCY) Operating Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jul 3, 2026), Mercury Systems reported Operating Expenses of $280.89 million, up 2.5% from FY2025.
- Annual Operating Expenses has a five-year compound annual growth rate of -1.6% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Expenses came in at $274.12 million in FY2025 (-20.2%), $343.66 million in FY2024 (+1.5%), $338.41 million in FY2023 (-6.9%) and $363.35 million in FY2022 (+19.4%).
- The fiscal Q4 2026 figure is the highest quarterly Operating Expenses since fiscal Q3 2025.
- On a year-over-year basis, Operating Expenses rose in two of the last eight quarters, with an average decline of 8.3%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 35.5% in fiscal Q1 2022, against a decline of 28.1% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $63.82 million (Q3 2026), $71.45 million (Q2 2026) and $71.5 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 10.86 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 21.96 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 2.35 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 156.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 12.63 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 756.00 Mn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 9.78 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 1.87 Bn |
| 10 | Mercury Systems | 4.78 Bn | 3.59 Bn | 88.58 Mn | 74.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 74.12 Mn |
| Mar 27, 2026 | 63.82 Mn |
| Dec 26, 2025 | 71.45 Mn |
| Sep 26, 2025 | 71.50 Mn |
| Jun 27, 2025 | 61.22 Mn |
| Mar 28, 2025 | 74.45 Mn |
| Dec 27, 2024 | 73.24 Mn |
| Sep 27, 2024 | 65.21 Mn |
| Jun 28, 2024 | 81.18 Mn |
| Mar 29, 2024 | 86.30 Mn |
| Dec 29, 2023 | 85.45 Mn |
| Sep 29, 2023 | 90.73 Mn |
| Jun 30, 2023 | 76.28 Mn |
| Mar 31, 2023 | 88.34 Mn |
| Dec 30, 2022 | 88.51 Mn |
| Sep 30, 2022 | 85.29 Mn |
| Jul 1, 2022 | 91.95 Mn |
| Apr 1, 2022 | 89.80 Mn |
| Dec 31, 2021 | 87.61 Mn |
| Oct 1, 2021 | 93.98 Mn |
API Access
Mercury Systems Operating Expenses 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=operating-expenses&ticker=MRCY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=MRCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();