Moog (MOG-A) Capital Expenditures (2009 - 2026)
Moog (MOG-A) reported Capital Expenditures of $27.51 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), down 15.8% from $32.66 million a year earlier and down 13.5% from the prior quarter.
Moog (MOG-A) Capital Expenditures (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, Moog's Capital Expenditures came in at $135.38 million, down 4.1% year-over-year; for FY2025 (ended Sep 27, 2025), it was $144.73 million, down 4.8% from FY2024.
- Capital Expenditures has a five-year compound annual growth rate of 10.4% (FY2020 to FY2025).
- By fiscal year, Capital Expenditures came in at $152 million in FY2024 (-14.3%), $177.31 million in FY2023 (+27.2%), $139.43 million in FY2022 (+8.3%) and $128.73 million in FY2021 (+45.8%).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Capital Expenditures since fiscal Q1 2021.
- Year over year, Capital Expenditures gained in two of the last eight quarters, with an average decline of 8.9%.
- The high point for year-over-year Capital Expenditures in five years was fiscal Q4 2021 (growth of 124.9%); the low point was fiscal Q2 2024 (a decline of 30.5%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $31.8 million (Q2 2026), $34.38 million (Q1 2026) and $41.69 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 335.00 Mn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 669.00 Mn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 733.00 Mn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 318.00 Mn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 104.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 234.00 Mn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 55.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 302.00 Mn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 315.00 Mn |
| 10 | Moog | 10.86 Bn | 10.35 Bn | 347.25 Mn | 27.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 27.51 Mn |
| Mar 28, 2026 | 31.80 Mn |
| Jan 3, 2026 | 34.38 Mn |
| Sep 27, 2025 | 41.69 Mn |
| Jun 28, 2025 | 32.66 Mn |
| Mar 29, 2025 | 37.60 Mn |
| Dec 28, 2024 | 32.78 Mn |
| Sep 28, 2024 | 38.17 Mn |
| Jun 29, 2024 | 33.31 Mn |
| Mar 30, 2024 | 41.46 Mn |
| Dec 30, 2023 | 39.05 Mn |
| Sep 30, 2023 | 52.24 Mn |
| Jul 1, 2023 | 35.33 Mn |
| Apr 1, 2023 | 59.62 Mn |
| Dec 31, 2022 | 30.13 Mn |
| Oct 1, 2022 | 32.72 Mn |
| Jul 2, 2022 | 32.63 Mn |
| Apr 2, 2022 | 37.03 Mn |
| Jan 1, 2022 | 37.06 Mn |
| Oct 2, 2021 | 40.16 Mn |
Moog Capital Expenditures 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=capital-expenditures&ticker=MOG-A&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=MOG-A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();