Moog (MOG-A) EBITDA (2009 - 2026)
Moog (MOG-A) reported EBITDA of $193.1 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 50.7% from $128.17 million a year earlier and up 27.8% from the prior quarter.
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Analysis
Moog (MOG-A) EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, Moog's EBITDA came in at $631.51 million, up 31.3% year-over-year; for FY2025 (ended Sep 27, 2025), it came in at $503.42 million, up 7.0% from FY2024.
- EBITDA has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 10.1% (FY2020 to FY2025).
- By fiscal year, EBITDA came in at $470.62 million in FY2024 (+18.4%), $397.57 million in FY2023 (+16.4%), $341.62 million in FY2022 (+4.0%) and $328.33 million in FY2021 (+5.5%).
- The fiscal Q3 2026 figure ranks as the highest quarterly EBITDA in data going back to fiscal Q4 2009.
- Year over year, EBITDA has now increased in each of the last five quarters, with growth averaging 16.5% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was fiscal Q3 2026 (growth of 50.7%); the low point was fiscal Q1 2022 (a decline of 8.9%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $151.1 million (Q2 2026), $146.79 million (Q1 2026) and $140.52 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | -5.87 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 3.89 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 752.00 Mn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 2.88 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 795.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 1.68 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 957.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 1.46 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 2.10 Bn |
| 10 | Moog | 10.86 Bn | 10.35 Bn | 347.25 Mn | 193.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 193.10 Mn |
| Mar 28, 2026 | 151.10 Mn |
| Jan 3, 2026 | 146.79 Mn |
| Sep 27, 2025 | 140.52 Mn |
| Jun 28, 2025 | 128.17 Mn |
| Mar 29, 2025 | 120.44 Mn |
| Dec 28, 2024 | 114.30 Mn |
| Sep 28, 2024 | 117.94 Mn |
| Jun 29, 2024 | 119.71 Mn |
| Mar 30, 2024 | 121.36 Mn |
| Dec 30, 2023 | 111.62 Mn |
| Sep 30, 2023 | 118.07 Mn |
| Jul 1, 2023 | 95.39 Mn |
| Apr 1, 2023 | 97.15 Mn |
| Dec 31, 2022 | 86.97 Mn |
| Oct 1, 2022 | 87.21 Mn |
| Jul 2, 2022 | 92.51 Mn |
| Apr 2, 2022 | 85.84 Mn |
| Jan 1, 2022 | 76.07 Mn |
| Oct 2, 2021 | 78.25 Mn |
API Access
Moog EBITDA 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=ebitda&ticker=MOG-A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MOG-A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();