Mercury Systems (MRCY) Operating Leases (2019 - 2026)
Mercury Systems (MRCY) posted Operating Leases of $45.83 million for fiscal Q4 2026 (quarter ended Jul 3, 2026), down 13.1% from $52.74 million a year earlier and down 5.2% from the prior quarter.
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Analysis
Mercury Systems (MRCY) Operating Leases (2019 - 2026) Analysis & Trends
Since fiscal Q1 2020, Mercury Systems has reported Operating Leases for 28 quarters.
- Annual Operating Leases has declined for five consecutive fiscal years, with a five-year compound annual growth rate of -8.5% (FY2021 to FY2026).
- In prior fiscal years, Mercury Systems' Operating Leases was $52.74 million in FY2025 (-15.7%), $62.58 million in FY2024 (-6.3%), $66.8 million in FY2023 (-4.4%) and $69.89 million in FY2022 (-2.3%).
- The fiscal Q4 2026 figure stands as the lowest quarterly Operating Leases in data going back to fiscal Q1 2020.
- On a year-over-year basis, Operating Leases has declined in each of the last ten quarters, with an average decline of 12.7% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was fiscal Q2 2024, with growth of 7.2%; the weakest was fiscal Q4 2025, with a decline of 15.7%.
- According to Business Quant data, Operating Leases for the three prior fiscal quarters was $48.34 million (Q3 2026), $50.96 million (Q2 2026) and $53.63 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 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 |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn |
| 10 | Mercury Systems | 4.78 Bn | 3.59 Bn | 88.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 45.83 Mn |
| Mar 27, 2026 | 48.34 Mn |
| Dec 26, 2025 | 50.96 Mn |
| Sep 26, 2025 | 53.63 Mn |
| Jun 27, 2025 | 52.74 Mn |
| Mar 28, 2025 | 55.32 Mn |
| Dec 27, 2024 | 57.81 Mn |
| Sep 27, 2024 | 59.80 Mn |
| Jun 28, 2024 | 62.58 Mn |
| Mar 29, 2024 | 65.47 Mn |
| Dec 29, 2023 | 68.25 Mn |
| Sep 29, 2023 | 64.17 Mn |
| Jun 30, 2023 | 66.80 Mn |
| Mar 31, 2023 | 68.10 Mn |
| Dec 30, 2022 | 63.69 Mn |
| Sep 30, 2022 | 67.26 Mn |
| Jul 1, 2022 | 69.89 Mn |
| Apr 1, 2022 | 72.44 Mn |
| Dec 31, 2021 | 75.11 Mn |
| Oct 1, 2021 | 72.01 Mn |
API Access
Mercury Systems Operating Leases 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-leases&ticker=MRCY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=MRCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();