Moog (MOG-A) EPS (Diluted) (2009 - 2026)
Moog's EPS (Diluted) came in at $4.74 for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 158.5% from $1.83 a year earlier and up 85.9% from the prior quarter.
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Analysis
Moog (MOG-A) EPS (Diluted) (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Moog reported EPS (Diluted) of $11.76, up 75.9% year-over-year; for FY2025 (ended Sep 27, 2025), it was $7.33, up 13.5% from FY2024.
- EPS (Diluted) has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 92.8% (FY2020 to FY2025).
- Going back by fiscal year, EPS (Diluted) was $6.45 in FY2024 (+18.0%), $5.47 in FY2023 (+13.1%), $4.83 in FY2022 (-0.7%) and $4.87 in FY2021.
- The fiscal Q3 2026 figure represents the highest quarterly EPS (Diluted) in data going back to fiscal Q3 2009.
- Year-over-year, EPS (Diluted) has increased for seven consecutive quarters, with growth averaging 38.2% over the last eight quarters.
- The fastest year-over-year change in EPS (Diluted) over five years came in fiscal Q3 2026 (growth of 158.5%), and the weakest in fiscal Q2 2022 (a decline of 39.9%).
- Business Quant data shows MOG-A's EPS (Diluted) at $2.55 (Q2 2026), $2.46 (Q1 2026) and $2.01 (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 2.26 |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 1.57 |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | -0.67 |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 7.94 |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 1.33 |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 4.24 |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 3.33 |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 7.68 |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 17.83 |
| 10 | Moog | 10.86 Bn | 10.35 Bn | 347.25 Mn | 4.74 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 4.74 |
| Mar 28, 2026 | 2.55 |
| Jan 3, 2026 | 2.46 |
| Sep 27, 2025 | 2.01 |
| Jun 28, 2025 | 1.83 |
| Mar 29, 2025 | 1.71 |
| Dec 28, 2024 | 1.78 |
| Sep 28, 2024 | 1.31 |
| Jun 29, 2024 | 1.82 |
| Mar 30, 2024 | 1.69 |
| Dec 30, 2023 | 1.63 |
| Sep 30, 2023 | 1.36 |
| Jul 1, 2023 | 1.32 |
| Apr 1, 2023 | 1.34 |
| Dec 31, 2022 | 1.44 |
| Oct 1, 2022 | 0.92 |
| Jul 2, 2022 | 1.57 |
| Apr 2, 2022 | 0.91 |
| Jan 1, 2022 | 1.44 |
| Oct 2, 2021 | 1.07 |
API Access
Moog EPS (Diluted) 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=eps-diluted&ticker=MOG-A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=MOG-A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();