Moog (MOG-A) Return on Sales [ROS] (2009 - 2026)
Moog (MOG-A) reported Return on Sales [ROS] of 14.41% for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 3.86 percentage points from 10.55% a year earlier and up 2.72 percentage points from the prior quarter.
Moog (MOG-A) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, Moog's Return on Sales [ROS] came in at 11.93%, up 1.73 percentage points year-over-year; for FY2025 (ended Sep 27, 2025), it came in at 10.35%, down 0.03 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +2.58 percentage points (FY2020 to FY2025).
- By fiscal year, Return on Sales [ROS] came in at 10.38% in FY2024 (+1.08 pp), 9.30% in FY2023 (+0.95 pp), 8.34% in FY2022 (-0.01 pp) and 8.35% in FY2021 (+0.58 pp).
- The fiscal Q3 2026 figure ranks as the highest quarterly Return on Sales [ROS] in data going back to fiscal Q3 2009.
- Year over year, Return on Sales [ROS] has now increased in each of the last five quarters, with an average year-over-year change of +0.67 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q3 2026 (a gain of 3.86 percentage points); the low point was fiscal Q1 2022 (a drop of 1.70 percentage points).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 11.70% (Q2 2026), 10.83% (Q1 2026) and 10.68% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | -46.33% |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 11.38% |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 0.64% |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 12.36% |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 27.92% |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 10.36% |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 25.82% |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 10.08% |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 18.37% |
| 10 | Moog | 11.17 Bn | 10.66 Bn | 347.25 Mn | 14.41% |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 14.41% |
| Mar 28, 2026 | 11.70% |
| Jan 3, 2026 | 10.83% |
| Sep 27, 2025 | 10.68% |
| Jun 28, 2025 | 10.55% |
| Mar 29, 2025 | 10.25% |
| Dec 28, 2024 | 9.86% |
| Sep 28, 2024 | 10.11% |
| Jun 29, 2024 | 10.47% |
| Mar 30, 2024 | 10.63% |
| Dec 30, 2023 | 10.31% |
| Sep 30, 2023 | 10.85% |
| Jul 1, 2023 | 8.53% |
| Apr 1, 2023 | 9.07% |
| Dec 31, 2022 | 8.63% |
| Oct 1, 2022 | 8.46% |
| Jul 2, 2022 | 9.24% |
| Apr 2, 2022 | 8.24% |
| Jan 1, 2022 | 7.37% |
| Oct 2, 2021 | 7.58% |
Moog Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=MOG-A&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=MOG-A&period=max&api_key=YOUR_API_KEY");
const data = await res.json();