Moog (MOG-A) EBITDA Margin (2009 - 2026)
Moog's EBITDA Margin was 17.29% in fiscal Q3 2026 (quarter ended Jun 27, 2026), up 4.08 percentage points from 13.22% a year earlier and up 2.93 percentage points from the prior quarter.
Moog (MOG-A) EBITDA Margin (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Moog's EBITDA Margin was 14.63% through Jun 27, 2026, up 1.74 percentage points year-over-year; for FY2025 (ended Sep 27, 2025), it was 13.04%, unchanged from FY2024.
- EBITDA Margin shows a five-year change of +2.25 percentage points (FY2020 to FY2025).
- In earlier fiscal years, EBITDA Margin was 13.04% in FY2024 (+1.05 pp), 11.99% in FY2023 (+0.74 pp), 11.25% in FY2022 (-0.26 pp) and 11.51% in FY2021 (+0.73 pp).
- The fiscal Q3 2026 figure marks the highest quarterly EBITDA Margin in data going back to fiscal Q4 2009.
- Compared with a year earlier, EBITDA Margin has increased for five straight quarters, with an average year-over-year change of +0.68 percentage points over the last eight quarters.
- The best year-over-year quarter for EBITDA Margin over five years was fiscal Q3 2026 (a gain of 4.08 percentage points); the worst was fiscal Q1 2022 (a drop of 1.71 percentage points).
- Per Business Quant data, MOG-A's EBITDA Margin in the three fiscal quarters before Q3 2026 was 14.36% (Q2 2026), 13.34% (Q1 2026) and 13.39% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | -43.99% |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 15.74% |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 3.06% |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 14.35% |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 31.21% |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 11.91% |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 30.55% |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 13.45% |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 21.58% |
| 10 | Moog | 10.86 Bn | 10.35 Bn | 347.25 Mn | 17.29% |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 17.29% |
| Mar 28, 2026 | 14.36% |
| Jan 3, 2026 | 13.34% |
| Sep 27, 2025 | 13.39% |
| Jun 28, 2025 | 13.22% |
| Mar 29, 2025 | 12.89% |
| Dec 28, 2024 | 12.59% |
| Sep 28, 2024 | 12.83% |
| Jun 29, 2024 | 13.10% |
| Mar 30, 2024 | 13.19% |
| Dec 30, 2023 | 13.05% |
| Sep 30, 2023 | 13.59% |
| Jul 1, 2023 | 11.22% |
| Apr 1, 2023 | 11.61% |
| Dec 31, 2022 | 11.44% |
| Oct 1, 2022 | 11.36% |
| Jul 2, 2022 | 11.97% |
| Apr 2, 2022 | 11.14% |
| Jan 1, 2022 | 10.51% |
| Oct 2, 2021 | 10.80% |
Moog EBITDA Margin 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-margin&ticker=MOG-A&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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-margin&ticker=MOG-A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();