TransDigm (TDG) EBIT (2009 - 2026)
TransDigm (TDG) posted EBIT of $1.23 billion for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 18.1% from $1.04 billion a year earlier and up 4.2% from the prior quarter.
TransDigm (TDG) EBIT (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, EBIT at TransDigm was $4.61 billion, up 16.7% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $4.17 billion, up 18.0% from FY2024.
- Annual EBIT has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 18.9% (FY2020 to FY2025).
- In prior fiscal years, TransDigm's EBIT was $3.53 billion in FY2024 (+20.8%), $2.92 billion in FY2023 (+32.0%), $2.22 billion in FY2022 (+31.0%) and $1.69 billion in FY2021 (-3.4%).
- The fiscal Q3 2026 figure stands as the highest quarterly EBIT in data going back to fiscal Q3 2009.
- On a year-over-year basis, EBIT has increased in each of the last 21 quarters, with growth averaging 15.8% over the last eight quarters.
- The year-over-year growth in EBIT has ranged between 7.0% (fiscal Q1 2026) and 71.5% (fiscal Q4 2021) over the last five years.
- According to Business Quant data, EBIT for the three prior fiscal quarters was $1.18 billion (Q2 2026), $1.04 billion (Q1 2026) and $1.16 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | -6.18 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 2.81 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 156.00 Mn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 2.48 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 711.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 1.46 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 809.00 Mn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 1.10 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 1.79 Bn |
| 10 | TransDigm | 61.31 Bn | 49.40 Bn | 1.63 Bn | 1.23 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 1.23 Bn |
| Mar 28, 2026 | 1.18 Bn |
| Dec 27, 2025 | 1.04 Bn |
| Sep 30, 2025 | 1.16 Bn |
| Jun 28, 2025 | 1.04 Bn |
| Mar 29, 2025 | 991.00 Mn |
| Dec 28, 2024 | 974.00 Mn |
| Sep 30, 2024 | 943.00 Mn |
| Jun 29, 2024 | 934.00 Mn |
| Mar 30, 2024 | 867.00 Mn |
| Dec 30, 2023 | 787.00 Mn |
| Sep 30, 2023 | 856.00 Mn |
| Jul 1, 2023 | 783.00 Mn |
| Apr 1, 2023 | 695.00 Mn |
| Dec 31, 2022 | 590.00 Mn |
| Sep 30, 2022 | 641.00 Mn |
| Jul 2, 2022 | 599.00 Mn |
| Apr 2, 2022 | 520.00 Mn |
| Jan 1, 2022 | 455.00 Mn |
| Sep 30, 2021 | 535.00 Mn |
TransDigm EBIT 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=ebit&ticker=TDG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=TDG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();