Moog (MOG-A) Goodwill & Intangibles (2009 - 2026)
Moog's Goodwill & Intangibles came in at $926.81 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 7.9% from $859.27 million a year earlier but down 0.8% from the prior quarter.
Moog (MOG-A) Goodwill & Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), Moog's Goodwill & Intangibles was $908.41 million, up 1.2% from FY2024.
- Goodwill & Intangibles has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- Going back by fiscal year, Goodwill & Intangibles was $897.24 million in FY2024 (+0.5%), $892.94 million in FY2023 (+0.2%), $890.73 million in FY2022 (-7.0%) and $957.7 million in FY2021 (+5.6%).
- The five-year range for quarterly Goodwill & Intangibles is $859.27 million (fiscal Q3 2025) to $957.7 million (fiscal Q4 2021).
- Year-over-year, Goodwill & Intangibles has increased for four consecutive quarters, with growth averaging 1.7% over the last eight quarters.
- The fastest year-over-year change in Goodwill & Intangibles over five years came in fiscal Q3 2026 (growth of 7.9%), and the weakest in fiscal Q4 2022 (a decline of 7.0%).
- Business Quant data shows MOG-A's Goodwill & Intangibles at $934.05 million (Q2 2026), $940.62 million (Q1 2026) and $908.41 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn |
| 10 | Moog | 11.17 Bn | 10.66 Bn | 347.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 926.81 Mn |
| Mar 28, 2026 | 934.05 Mn |
| Jan 3, 2026 | 940.62 Mn |
| Sep 27, 2025 | 908.41 Mn |
| Jun 28, 2025 | 859.27 Mn |
| Mar 29, 2025 | 883.33 Mn |
| Dec 28, 2024 | 877.97 Mn |
| Sep 28, 2024 | 897.24 Mn |
| Jun 29, 2024 | 893.74 Mn |
| Mar 30, 2024 | 897.35 Mn |
| Dec 30, 2023 | 906.08 Mn |
| Sep 30, 2023 | 892.94 Mn |
| Jul 1, 2023 | 908.90 Mn |
| Apr 1, 2023 | 908.92 Mn |
| Dec 31, 2022 | 908.30 Mn |
| Oct 1, 2022 | 890.73 Mn |
| Jul 2, 2022 | 924.68 Mn |
| Apr 2, 2022 | 946.81 Mn |
| Jan 1, 2022 | 944.26 Mn |
| Oct 2, 2021 | 957.70 Mn |
Moog Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=MOG-A&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=MOG-A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();