Moog (MOG-A) Operating Income (2009 - 2026)
Moog (MOG-A) recorded Operating Income of $160.95 million in fiscal Q3 2026 (quarter ended Jun 27, 2026), up 57.3% from $102.33 million a year earlier and up 30.8% from the prior quarter.
Moog (MOG-A) Operating Income (2009 - 2026) Analysis & Trends
On a TTM basis, Moog's Operating Income came in at $515.25 million as of Jun 27, 2026, up 35.4% year-over-year; for FY2025 (ended Sep 27, 2025), it came in at $399.69 million, up 6.7% from FY2024.
- Annual Operating Income has increased for five straight fiscal years, with a five-year compound annual growth rate of 12.3% (FY2020 to FY2025).
- Across earlier fiscal years, Operating Income came in at $374.59 million in FY2024 (+21.5%), $308.27 million in FY2023 (+21.7%), $253.23 million in FY2022 (+6.3%) and $238.17 million in FY2021 (+6.2%).
- The fiscal Q3 2026 figure is the highest quarterly Operating Income in data going back to fiscal Q3 2009.
- On a year-over-year basis, Operating Income has increased for five consecutive quarters, with growth averaging 18.1% over the last eight quarters.
- Peak year-over-year performance for Operating Income in the last five years was growth of 57.3% in fiscal Q3 2026, against a decline of 14.0% in fiscal Q1 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $123.06 million (Q2 2026), $119.2 million (Q1 2026) and $112.04 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | -6.18 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 2.81 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 156.00 Mn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 2.48 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 711.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 1.46 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 809.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 1.10 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 1.79 Bn |
| 10 | Moog | 10.86 Bn | 10.35 Bn | 347.25 Mn | 160.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 160.95 Mn |
| Mar 28, 2026 | 123.06 Mn |
| Jan 3, 2026 | 119.20 Mn |
| Sep 27, 2025 | 112.04 Mn |
| Jun 28, 2025 | 102.33 Mn |
| Mar 29, 2025 | 95.78 Mn |
| Dec 28, 2024 | 89.55 Mn |
| Sep 28, 2024 | 92.92 Mn |
| Jun 29, 2024 | 95.70 Mn |
| Mar 30, 2024 | 97.77 Mn |
| Dec 30, 2023 | 88.20 Mn |
| Sep 30, 2023 | 94.28 Mn |
| Jul 1, 2023 | 72.55 Mn |
| Apr 1, 2023 | 75.86 Mn |
| Dec 31, 2022 | 65.58 Mn |
| Oct 1, 2022 | 64.99 Mn |
| Jul 2, 2022 | 71.39 Mn |
| Apr 2, 2022 | 63.48 Mn |
| Jan 1, 2022 | 53.38 Mn |
| Oct 2, 2021 | 54.90 Mn |
Moog Operating Income 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-income&ticker=MOG-A&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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-income&ticker=MOG-A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();