Moog (MOG-A) Revenue (2009 - 2026)
Moog (MOG-A) recorded Revenue of $1.12 billion in fiscal Q3 2026 (quarter ended Jun 27, 2026), up 15.2% from $969.58 million a year earlier and up 6.1% from the prior quarter.
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Analysis
Moog (MOG-A) Revenue (2009 - 2026) Analysis & Trends
On a TTM basis, Moog's Revenue came in at $4.32 billion as of Jun 27, 2026, up 15.7% year-over-year; for FY2025 (ended Sep 27, 2025), it was $3.86 billion, up 7.0% from FY2024.
- Annual Revenue has increased for four straight fiscal years, with a five-year compound annual growth rate of 6.0% (FY2020 to FY2025).
- Across earlier fiscal years, Revenue came in at $3.61 billion in FY2024 (+8.8%), $3.32 billion in FY2023 (+9.2%), $3.04 billion in FY2022 (+6.4%) and $2.85 billion in FY2021 (-1.1%).
- The fiscal Q3 2026 figure is the highest quarterly Revenue in data going back to fiscal Q3 2009.
- On a year-over-year basis, Revenue has increased for 21 consecutive quarters, with growth averaging 10.3% over the last eight quarters.
- Across the past five years, year-over-year growth in Revenue ran from 1.5% in fiscal Q2 2025 to 21.2% in fiscal Q1 2026.
- Per Business Quant, the preceding three fiscal quarters came in at $1.05 billion (Q2 2026), $1.1 billion (Q1 2026) and $1.05 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 301.03 Bn | 259.55 Bn | 5.02 Bn | 14.12 Bn |
| 2 | Rtx | 258.54 Bn | 226.81 Bn | 5.81 Bn | 24.97 Bn |
| 3 | Boeing | 150.12 Bn | 56.81 Bn | 2.41 Bn | 24.56 Bn |
| 4 | Lockheed Martin | 133.58 Bn | 120.31 Bn | 2.45 Bn | 20.06 Bn |
| 5 | General Dynamics | 93.62 Bn | 80.73 Bn | 2.18 Bn | 14.09 Bn |
| 6 | Motorola Solutions | 78.34 Bn | 74.69 Bn | 1.68 Bn | 3.13 Bn |
| 7 | Northrop Grumman | 78.08 Bn | 65.54 Bn | 2.35 Bn | 11.12 Bn |
| 8 | Howmet Aerospace | 77.38 Bn | 72.98 Bn | 951.00 Mn | 2.55 Bn |
| 9 | Honeywell International | 68.70 Bn | 20.82 Bn | 3.65 Bn | 9.72 Bn |
| 10 | Moog | 10.67 Bn | 10.16 Bn | 347.25 Mn | 1.12 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 1.12 Bn |
| Mar 28, 2026 | 1.05 Bn |
| Jan 3, 2026 | 1.10 Bn |
| Sep 27, 2025 | 1.05 Bn |
| Jun 28, 2025 | 969.58 Mn |
| Mar 29, 2025 | 934.02 Mn |
| Dec 28, 2024 | 907.88 Mn |
| Sep 28, 2024 | 919.40 Mn |
| Jun 29, 2024 | 914.14 Mn |
| Mar 30, 2024 | 920.21 Mn |
| Dec 30, 2023 | 855.22 Mn |
| Sep 30, 2023 | 869.12 Mn |
| Jul 1, 2023 | 850.18 Mn |
| Apr 1, 2023 | 836.79 Mn |
| Dec 31, 2022 | 760.10 Mn |
| Oct 1, 2022 | 768.00 Mn |
| Jul 2, 2022 | 772.91 Mn |
| Apr 2, 2022 | 770.79 Mn |
| Jan 1, 2022 | 724.09 Mn |
| Oct 2, 2021 | 724.29 Mn |
API Access
Moog Revenue 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=revenue&ticker=MOG-A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=MOG-A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();