TransDigm (TDG) Net Margin (2009 - 2026)
TransDigm (TDG) reported Net Margin of 19.66% for fiscal Q3 2026 (quarter ended Jun 27, 2026), down 2.33 percentage points from 21.99% a year earlier and down 1.37 percentage points from the prior quarter.
TransDigm (TDG) Net Margin (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, TransDigm's Net Margin came in at 19.10%, down 1.31 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it came in at 21.13%, up 2.48 percentage points from FY2024.
- Net Margin has a five-year change of +11.06 percentage points (FY2020 to FY2025).
- By fiscal year, Net Margin came in at 18.65% in FY2024 (-0.48 pp), 19.13% in FY2023 (+4.77 pp), 14.37% in FY2022 (+1.72 pp) and 12.65% in FY2021 (+2.58 pp).
- Five-year quarterly Net Margin spans a low of 9.80% in fiscal Q1 2022 and a high of 22.53% in fiscal Q3 2024.
- Year over year, Net Margin has now declined in each of the last three quarters, with an average year-over-year change of -0.69 percentage points over the last eight quarters.
- The high point for year-over-year Net Margin in five years was fiscal Q1 2022 (a gain of 11.87 percentage points); the low point was fiscal Q3 2022 (a drop of 9.00 percentage points).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 21.03% (Q2 2026), 16.89% (Q1 2026) and 18.51% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 311.51 Bn | 265.28 Bn | 4.68 Bn | 17.75% |
| 2 | Rtx | 260.81 Bn | 232.28 Bn | 5.13 Bn | 8.66% |
| 3 | Boeing | 150.42 Bn | 57.11 Bn | 2.41 Bn | -2.16% |
| 4 | Lockheed Martin | 126.49 Bn | 113.21 Bn | 2.45 Bn | 9.15% |
| 5 | General Dynamics | 93.01 Bn | 80.13 Bn | 2.18 Bn | 8.23% |
| 6 | Howmet Aerospace | 84.65 Bn | 80.25 Bn | 951.00 Mn | 20.97% |
| 7 | Motorola Solutions | 76.78 Bn | 73.13 Bn | 1.68 Bn | 17.78% |
| 8 | Northrop Grumman | 75.94 Bn | 65.19 Bn | 2.12 Bn | 10.06% |
| 9 | Honeywell International | 67.59 Bn | 19.71 Bn | 3.65 Bn | 58.46% |
| 10 | TransDigm | 65.48 Bn | 53.49 Bn | 1.63 Bn | 19.66% |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 19.66% |
| Mar 28, 2026 | 21.03% |
| Dec 27, 2025 | 16.89% |
| Sep 30, 2025 | 18.51% |
| Jun 28, 2025 | 21.99% |
| Mar 29, 2025 | 22.28% |
| Dec 28, 2024 | 22.13% |
| Sep 30, 2024 | 15.37% |
| Jun 29, 2024 | 22.53% |
| Mar 30, 2024 | 21.00% |
| Dec 30, 2023 | 15.71% |
| Sep 30, 2023 | 22.41% |
| Jul 1, 2023 | 20.13% |
| Apr 1, 2023 | 19.10% |
| Dec 31, 2022 | 13.60% |
| Sep 30, 2022 | 14.97% |
| Jul 2, 2022 | 17.02% |
| Apr 2, 2022 | 15.00% |
| Jan 1, 2022 | 9.80% |
| Sep 30, 2021 | 16.34% |
TransDigm Net Margin 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=net-margin&ticker=TDG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=TDG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();