Moog (MOG-A) Price to Earnings (2010 - 2026)
Moog's (MOG-A) Price to Earnings came in at 32.08 for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 32.9% from 24.13 a year earlier and up 10.9% from the prior quarter.
Moog (MOG-A) Price to Earnings (2010 - 2026) Analysis & Trends
For FY2025 (ended Sep 27, 2025), Moog's Price to Earnings stood at 24.75, down 10.6% from FY2024.
- In prior fiscal years, Moog's Price to Earnings was 27.68 in FY2024 (+49.3%), 18.53 in FY2023 (+42.1%), 13.04 in FY2022 (-10.7%) and 14.60 in FY2021 (-93.2%).
- The fiscal Q3 2026 figure stands as the highest quarterly Price to Earnings since fiscal Q3 2021.
- On a year-over-year basis, Price to Earnings has increased in each of the last three quarters, with growth averaging 15.0% over the last eight quarters.
- The strongest year-over-year quarter for Price to Earnings in the past five years was fiscal Q4 2024, with growth of 49.3%; the weakest was fiscal Q4 2021, with a decline of 93.2%.
- According to Business Quant data, Price to Earnings for the three prior fiscal quarters was 28.92 (Q2 2026), 27.71 (Q1 2026) and 24.75 (Q4 2025).
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 | 32.08 |
| Mar 28, 2026 | 28.92 |
| Jan 3, 2026 | 27.71 |
| Sep 27, 2025 | 24.75 |
| Jun 28, 2025 | 24.13 |
| Mar 29, 2025 | 22.73 |
| Dec 28, 2024 | 26.03 |
| Sep 28, 2024 | 27.68 |
| Jun 29, 2024 | 22.92 |
| Mar 30, 2024 | 23.76 |
| Dec 30, 2023 | 22.90 |
| Sep 30, 2023 | 18.53 |
| Jul 1, 2023 | 19.36 |
| Apr 1, 2023 | 17.14 |
| Dec 31, 2022 | 16.27 |
| Oct 1, 2022 | 13.04 |
| Jul 2, 2022 | 14.49 |
| Apr 2, 2022 | 17.76 |
| Jan 1, 2022 | 14.20 |
| Oct 2, 2021 | 14.60 |
Moog Price to Earnings 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=price-to-earnings&ticker=MOG-A&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=MOG-A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();