TransDigm (TDG) Return on Sales [ROS] (2009 - 2026)
TransDigm (TDG) reported Return on Sales [ROS] of 44.76% for fiscal Q3 2026 (quarter ended Jun 27, 2026), down 1.68 percentage points from 46.45% a year earlier and down 1.54 percentage points from the prior quarter.
TransDigm (TDG) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, TransDigm's Return on Sales [ROS] came in at 46.05%, up 0.04 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it came in at 47.16%, up 2.69 percentage points from FY2024.
- Return on Sales [ROS] has increased for five consecutive fiscal years, with a five-year change of +12.85 percentage points (FY2020 to FY2025).
- By fiscal year, Return on Sales [ROS] came in at 44.47% in FY2024 (+0.08 pp), 44.39% in FY2023 (+3.59 pp), 40.80% in FY2022 (+5.56 pp) and 35.24% in FY2021 (+0.93 pp).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Return on Sales [ROS] since fiscal Q4 2024.
- Year over year, Return on Sales [ROS] gained in five of the last eight quarters, with an average year-over-year change of +0.41 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q4 2021 (a gain of 15.23 percentage points); the low point was fiscal Q4 2024 (a drop of 3.08 percentage points).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 46.31% (Q2 2026), 45.60% (Q1 2026) and 47.64% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 339.47 Bn | 293.47 Bn | 4.68 Bn | -46.33% |
| 2 | Rtx | 255.27 Bn | 228.48 Bn | 5.13 Bn | 11.38% |
| 3 | Boeing | 156.48 Bn | 63.18 Bn | 2.41 Bn | 0.64% |
| 4 | Lockheed Martin | 119.91 Bn | 106.64 Bn | 2.45 Bn | 12.36% |
| 5 | Howmet Aerospace | 92.95 Bn | 88.55 Bn | 951.00 Mn | 27.92% |
| 6 | General Dynamics | 91.08 Bn | 78.19 Bn | 2.18 Bn | 10.36% |
| 7 | Motorola Solutions | 75.61 Bn | 71.97 Bn | 1.68 Bn | 25.82% |
| 8 | Northrop Grumman | 72.52 Bn | 61.76 Bn | 2.12 Bn | 10.08% |
| 9 | Honeywell International | 67.37 Bn | 19.81 Bn | 3.65 Bn | 18.37% |
| 10 | TransDigm | 61.72 Bn | 49.81 Bn | 1.63 Bn | 44.76% |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 44.76% |
| Mar 28, 2026 | 46.31% |
| Dec 27, 2025 | 45.60% |
| Sep 30, 2025 | 47.64% |
| Jun 28, 2025 | 46.45% |
| Mar 29, 2025 | 46.09% |
| Dec 28, 2024 | 48.55% |
| Sep 30, 2024 | 43.14% |
| Jun 29, 2024 | 45.65% |
| Mar 30, 2024 | 45.18% |
| Dec 30, 2023 | 43.99% |
| Sep 30, 2023 | 46.22% |
| Jul 1, 2023 | 44.90% |
| Apr 1, 2023 | 43.66% |
| Dec 31, 2022 | 42.23% |
| Sep 30, 2022 | 42.45% |
| Jul 2, 2022 | 42.85% |
| Apr 2, 2022 | 39.19% |
| Jan 1, 2022 | 38.11% |
| Sep 30, 2021 | 41.83% |
TransDigm 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=TDG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "TDG", "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=TDG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();