Moog (MOG-A) Operating Expenses (2009 - 2026)
Moog (MOG-A) recorded Operating Expenses of $186.3 million in fiscal Q3 2026 (quarter ended Jun 27, 2026), up 13.2% from $164.5 million a year earlier and up 13.3% from the prior quarter.
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Analysis
Moog (MOG-A) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Moog's Operating Expenses came in at $702.62 million as of Jun 27, 2026, up 9.0% year-over-year; for FY2025 (ended Sep 27, 2025), it was $657.65 million, up 3.1% from FY2024.
- Annual Operating Expenses has increased for five straight fiscal years, with a five-year compound annual growth rate of 4.8% (FY2020 to FY2025).
- Across earlier fiscal years, Operating Expenses came in at $637.81 million in FY2024 (+8.2%), $589.49 million in FY2023 (+3.9%), $567.57 million in FY2022 (+5.6%) and $537.56 million in FY2021 (+3.5%).
- The fiscal Q3 2026 figure is the highest quarterly Operating Expenses in data going back to fiscal Q3 2009.
- On a year-over-year basis, Operating Expenses has increased for five consecutive quarters, with growth averaging 5.7% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 13.2% in fiscal Q3 2026, against a decline of 2.7% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $164.49 million (Q2 2026), $175.04 million (Q1 2026) and $176.79 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 10.86 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 21.96 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 2.35 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 156.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 12.63 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 756.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 9.78 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 1.87 Bn |
| 10 | Moog | 10.86 Bn | 10.35 Bn | 347.25 Mn | 186.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 186.30 Mn |
| Mar 28, 2026 | 164.49 Mn |
| Jan 3, 2026 | 175.04 Mn |
| Sep 27, 2025 | 176.79 Mn |
| Jun 28, 2025 | 164.50 Mn |
| Mar 29, 2025 | 160.84 Mn |
| Dec 28, 2024 | 155.53 Mn |
| Sep 28, 2024 | 163.56 Mn |
| Jun 29, 2024 | 159.97 Mn |
| Mar 30, 2024 | 161.06 Mn |
| Dec 30, 2023 | 153.23 Mn |
| Sep 30, 2023 | 155.85 Mn |
| Jul 1, 2023 | 150.08 Mn |
| Apr 1, 2023 | 145.46 Mn |
| Dec 31, 2022 | 138.11 Mn |
| Oct 1, 2022 | 138.18 Mn |
| Jul 2, 2022 | 140.35 Mn |
| Apr 2, 2022 | 149.53 Mn |
| Jan 1, 2022 | 139.51 Mn |
| Oct 2, 2021 | 140.67 Mn |
API Access
Moog 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=MOG-A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MOG-A", "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=MOG-A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();