TransDigm (TDG) EBITDA (2009 - 2026)
TransDigm (TDG) posted EBITDA of $1.28 billion for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 18.3% from $1.08 billion a year earlier and up 4.4% from the prior quarter.
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Analysis
TransDigm (TDG) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, EBITDA at TransDigm was $4.79 billion, up 16.5% year-over-year; for FY2025 (ended Sep 30, 2025), it was $4.33 billion, up 17.6% from FY2024.
- Annual EBITDA has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 18.3% (FY2020 to FY2025).
- In prior fiscal years, TransDigm's EBITDA was $3.68 billion in FY2024 (+20.6%), $3.05 billion in FY2023 (+30.9%), $2.33 billion in FY2022 (+29.1%) and $1.81 billion in FY2021 (-3.2%).
- The fiscal Q3 2026 figure stands as the highest quarterly EBITDA in data going back to fiscal Q4 2009.
- On a year-over-year basis, EBITDA has increased in each of the last 21 quarters, with growth averaging 15.6% over the last eight quarters.
- The year-over-year growth in EBITDA has ranged between 7.1% (fiscal Q1 2026) and 64.1% (fiscal Q4 2021) over the last five years.
- According to Business Quant data, EBITDA for the three prior fiscal quarters was $1.22 billion (Q2 2026), $1.09 billion (Q1 2026) and $1.2 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 309.64 Bn | 263.41 Bn | 4.68 Bn | -5.87 Bn |
| 2 | Rtx | 257.96 Bn | 229.44 Bn | 5.13 Bn | 3.89 Bn |
| 3 | Boeing | 150.78 Bn | 57.47 Bn | 2.41 Bn | 752.00 Mn |
| 4 | Lockheed Martin | 126.19 Bn | 112.92 Bn | 2.45 Bn | 2.88 Bn |
| 5 | General Dynamics | 92.57 Bn | 79.68 Bn | 2.18 Bn | 1.68 Bn |
| 6 | Howmet Aerospace | 83.18 Bn | 78.79 Bn | 951.00 Mn | 795.00 Mn |
| 7 | Motorola Solutions | 76.43 Bn | 72.77 Bn | 1.68 Bn | 957.00 Mn |
| 8 | Northrop Grumman | 76.36 Bn | 65.61 Bn | 2.12 Bn | 1.46 Bn |
| 9 | Honeywell International | 67.32 Bn | 19.45 Bn | 3.65 Bn | 2.10 Bn |
| 10 | TransDigm | 65.21 Bn | 53.21 Bn | 1.63 Bn | 1.36 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 1.36 Bn |
| Mar 28, 2026 | 1.30 Bn |
| Dec 27, 2025 | 1.15 Bn |
| Sep 30, 2025 | 1.27 Bn |
| Jun 28, 2025 | 1.14 Bn |
| Mar 29, 2025 | 1.09 Bn |
| Dec 28, 2024 | 1.07 Bn |
| Sep 30, 2024 | 1.05 Bn |
| Jun 29, 2024 | 1.02 Bn |
| Mar 30, 2024 | 950.00 Mn |
| Dec 30, 2023 | 869.00 Mn |
| Sep 30, 2023 | 936.00 Mn |
| Jul 1, 2023 | 863.00 Mn |
| Apr 1, 2023 | 772.00 Mn |
| Dec 31, 2022 | 662.00 Mn |
| Sep 30, 2022 | 714.00 Mn |
| Jul 2, 2022 | 669.00 Mn |
| Apr 2, 2022 | 591.00 Mn |
| Jan 1, 2022 | 528.00 Mn |
| Sep 30, 2021 | 608.00 Mn |
API Access
TransDigm EBITDA 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=ebitda&ticker=TDG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=TDG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();