Mercury Systems (MRCY) Selling, General & Administrative (2010 - 2026)
Mercury Systems' Selling, General & Administrative came in at $47.85 million for fiscal Q4 2026 (quarter ended Jul 3, 2026), up 26.9% from $37.71 million a year earlier and up 22.3% from the prior quarter.
Mercury Systems (MRCY) Selling, General & Administrative (2010 - 2026) Analysis & Trends
For FY2026 (ended Jul 3, 2026), Mercury Systems' Selling, General & Administrative was $175.03 million, up 13.4% from FY2025.
- Selling, General & Administrative carries a five-year compound annual growth rate of 5.4% (FY2021 to FY2026).
- Going back by fiscal year, Selling, General & Administrative was $154.41 million in FY2025 (-7.4%), $166.79 million in FY2024 (+3.8%), $160.64 million in FY2023 (+2.3%) and $157.04 million in FY2022 (+16.9%).
- The fiscal Q4 2026 figure represents the highest quarterly Selling, General & Administrative in data going back to fiscal Q1 2011.
- Year-over-year, Selling, General & Administrative increased in three of the last eight quarters, with growth averaging 3.8%.
- The fastest year-over-year change in Selling, General & Administrative over five years came in fiscal Q4 2022 (growth of 39.4%), and the weakest in fiscal Q4 2023 (a decline of 27.3%).
- Business Quant data shows MRCY's Selling, General & Administrative at $39.14 million (Q3 2026), $42.14 million (Q2 2026) and $45.91 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.11 Bn | 277.88 Bn | 4.68 Bn | 1.13 Bn |
| 2 | Rtx | 259.48 Bn | 230.96 Bn | 5.13 Bn | 1.66 Bn |
| 3 | Boeing | 151.52 Bn | 58.21 Bn | 2.41 Bn | 1.43 Bn |
| 4 | Lockheed Martin | 126.52 Bn | 113.24 Bn | 2.45 Bn | - |
| 5 | General Dynamics | 92.31 Bn | 79.43 Bn | 2.18 Bn | 723.00 Mn |
| 6 | Howmet Aerospace | 88.22 Bn | 83.82 Bn | 951.00 Mn | 148.00 Mn |
| 7 | Motorola Solutions | 76.09 Bn | 72.44 Bn | 1.68 Bn | 496.00 Mn |
| 8 | Northrop Grumman | 72.54 Bn | 61.78 Bn | 2.12 Bn | 1.03 Bn |
| 9 | Honeywell International | 66.60 Bn | 18.72 Bn | 3.65 Bn | 1.34 Bn |
| 10 | Mercury Systems | 4.52 Bn | 3.34 Bn | 88.58 Mn | 47.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 47.85 Mn |
| Mar 27, 2026 | 39.14 Mn |
| Dec 26, 2025 | 42.14 Mn |
| Sep 26, 2025 | 45.91 Mn |
| Jun 27, 2025 | 37.71 Mn |
| Mar 28, 2025 | 43.04 Mn |
| Dec 27, 2024 | 40.50 Mn |
| Sep 27, 2024 | 33.15 Mn |
| Jun 28, 2024 | 43.37 Mn |
| Mar 29, 2024 | 43.16 Mn |
| Dec 29, 2023 | 44.47 Mn |
| Sep 29, 2023 | 35.79 Mn |
| Jun 30, 2023 | 32.01 Mn |
| Mar 31, 2023 | 44.63 Mn |
| Dec 30, 2022 | 45.06 Mn |
| Sep 30, 2022 | 38.94 Mn |
| Jul 1, 2022 | 44.02 Mn |
| Apr 1, 2022 | 39.26 Mn |
| Dec 31, 2021 | 36.81 Mn |
| Oct 1, 2021 | 36.96 Mn |
Mercury Systems Selling, General & Administrative 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=selling-general-and-administrative&ticker=MRCY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=MRCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();