Moog (MOG-A) Intangibles (2009 - 2026)
Moog's Intangibles was $57.63 million in fiscal Q3 2026 (quarter ended Jun 27, 2026), up 0.8% from $57.18 million a year earlier but down 4.8% from the prior quarter.
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Analysis
Moog (MOG-A) Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), Intangibles at Moog came in at $66.1 million, up 4.1% from FY2024.
- Intangibles shows a five-year compound annual growth rate of -4.9% (FY2020 to FY2025).
- In earlier fiscal years, Intangibles was $63.48 million in FY2024 (-11.4%), $71.64 million in FY2023 (-16.1%), $85.41 million in FY2022 (-19.5%) and $106.1 million in FY2021 (+24.8%).
- Quarterly Intangibles has moved between $57.18 million (fiscal Q3 2025) and $106.1 million (fiscal Q4 2021) over five years.
- Compared with a year earlier, Intangibles has increased for four straight quarters, with an average decline of 5.4% over the last eight quarters.
- The best year-over-year quarter for Intangibles over five years was fiscal Q4 2021 (growth of 24.8%); the worst was fiscal Q2 2023 (a decline of 21.2%).
- Per Business Quant data, MOG-A's Intangibles in the three fiscal quarters before Q3 2026 was $60.54 million (Q2 2026), $63.56 million (Q1 2026) and $66.1 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 4.09 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 31.04 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 1.53 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 1.79 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 869.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 1.28 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 2.95 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 | 6.41 Bn |
| 10 | Moog | 10.86 Bn | 10.35 Bn | 347.25 Mn | 57.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 57.63 Mn |
| Mar 28, 2026 | 60.54 Mn |
| Jan 3, 2026 | 63.56 Mn |
| Sep 27, 2025 | 66.10 Mn |
| Jun 28, 2025 | 57.18 Mn |
| Mar 29, 2025 | 57.92 Mn |
| Dec 28, 2024 | 59.47 Mn |
| Sep 28, 2024 | 63.48 Mn |
| Jun 29, 2024 | 66.42 Mn |
| Mar 30, 2024 | 68.88 Mn |
| Dec 30, 2023 | 72.66 Mn |
| Sep 30, 2023 | 71.64 Mn |
| Jul 1, 2023 | 79.68 Mn |
| Apr 1, 2023 | 82.42 Mn |
| Dec 31, 2022 | 85.40 Mn |
| Oct 1, 2022 | 85.41 Mn |
| Jul 2, 2022 | 98.38 Mn |
| Apr 2, 2022 | 104.61 Mn |
| Jan 1, 2022 | 102.22 Mn |
| Oct 2, 2021 | 106.10 Mn |
API Access
Moog 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=intangibles&ticker=MOG-A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=intangibles&ticker=MOG-A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();