Moog (MOG-A) Enterprise Value (2009 - 2026)
Moog's Enterprise Value came in at $12.03 billion for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 136.6% from $5.09 billion a year earlier and up 52.4% from the prior quarter.
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Analysis
Moog (MOG-A) Enterprise Value (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Moog reported Enterprise Value of $11.59 billion, up 137.1% year-over-year; for FY2025 (ended Sep 27, 2025), it came in at $5.75 billion, up 0.7% from FY2024.
- Enterprise Value has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 25.1% (FY2020 to FY2025).
- Going back by fiscal year, Enterprise Value was $5.72 billion in FY2024 (+79.9%), $3.18 billion in FY2023 (+65.3%), $1.92 billion in FY2022 (-12.5%) and $2.2 billion in FY2021 (+16.8%).
- The fiscal Q3 2026 figure represents the highest quarterly Enterprise Value in data going back to fiscal Q3 2009.
- Year-over-year, Enterprise Value has increased for 15 consecutive quarters, with growth averaging 44.8% over the last eight quarters.
- The fastest year-over-year change in Enterprise Value over five years came in fiscal Q3 2026 (growth of 136.6%), and the weakest in fiscal Q4 2022 (a decline of 12.5%).
- Business Quant data shows MOG-A's Enterprise Value at $7.89 billion (Q2 2026), $7.03 billion (Q1 2026) and $5.75 billion (Q4 2025) in the three fiscal quarters before Q3 2026.
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 | 12.03 Bn |
| Mar 28, 2026 | 7.89 Bn |
| Jan 3, 2026 | 7.03 Bn |
| Sep 27, 2025 | 5.75 Bn |
| Jun 28, 2025 | 5.09 Bn |
| Mar 29, 2025 | 4.80 Bn |
| Dec 28, 2024 | 5.49 Bn |
| Sep 28, 2024 | 5.72 Bn |
| Jun 29, 2024 | 4.76 Bn |
| Mar 30, 2024 | 4.53 Bn |
| Dec 30, 2023 | 4.04 Bn |
| Sep 30, 2023 | 3.18 Bn |
| Jul 1, 2023 | 2.99 Bn |
| Apr 1, 2023 | 2.79 Bn |
| Dec 31, 2022 | 2.38 Bn |
| Oct 1, 2022 | 1.92 Bn |
| Jul 2, 2022 | 2.23 Bn |
| Apr 2, 2022 | 2.47 Bn |
| Jan 1, 2022 | 2.25 Bn |
| Oct 2, 2021 | 2.20 Bn |
API Access
Moog Enterprise Value 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=enterprise-value&ticker=MOG-A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=MOG-A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();