Moog (MOG-A) Buildings (2010 - 2026)
Moog (MOG-A) posted Buildings of $753.27 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 2.8% from $732.51 million a year earlier and up 0.3% from the prior quarter.
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Analysis
Moog (MOG-A) Buildings (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), Moog's Buildings came in at $737.05 million, up 5.5% from FY2024.
- Annual Buildings has increased for ten consecutive fiscal years, with a five-year compound annual growth rate of 9.1% (FY2020 to FY2025).
- In prior fiscal years, Moog's Buildings was $698.33 million in FY2024 (+8.1%), $646.08 million in FY2023 (+24.3%), $519.87 million in FY2022 (+2.6%) and $506.45 million in FY2021 (+6.2%).
- The fiscal Q3 2026 figure stands as the highest quarterly Buildings in data going back to fiscal Q4 2010.
- On a year-over-year basis, Buildings has increased in each of the last 24 quarters, with growth averaging 5.5% over the last eight quarters.
- The year-over-year growth in Buildings has ranged between 0.8% (fiscal Q1 2023) and 30.4% (fiscal Q1 2024) over the last five years.
- According to Business Quant data, Buildings for the three prior fiscal quarters was $750.81 million (Q2 2026), $746.96 million (Q1 2026) and $737.05 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 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 |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn |
| 10 | Moog | 10.86 Bn | 10.35 Bn | 347.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 753.27 Mn |
| Mar 28, 2026 | 750.81 Mn |
| Jan 3, 2026 | 746.96 Mn |
| Sep 27, 2025 | 737.05 Mn |
| Jun 28, 2025 | 732.51 Mn |
| Mar 29, 2025 | 714.22 Mn |
| Dec 28, 2024 | 698.22 Mn |
| Sep 28, 2024 | 698.33 Mn |
| Jun 29, 2024 | 690.24 Mn |
| Mar 30, 2024 | 675.58 Mn |
| Dec 30, 2023 | 672.92 Mn |
| Sep 30, 2023 | 646.08 Mn |
| Jul 1, 2023 | 606.18 Mn |
| Apr 1, 2023 | 554.58 Mn |
| Dec 31, 2022 | 515.86 Mn |
| Oct 1, 2022 | 519.87 Mn |
| Jul 2, 2022 | 513.18 Mn |
| Apr 2, 2022 | 513.32 Mn |
| Jan 1, 2022 | 511.84 Mn |
| Oct 2, 2021 | 506.45 Mn |
API Access
Moog Buildings 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=buildings&ticker=MOG-A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=MOG-A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();