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 | 348.08 Bn | 306.60 Bn | 5.02 Bn | -6.39 Bn |
| 2 | Rtx | 265.63 Bn | 233.90 Bn | 5.81 Bn | 4.41 Bn |
| 3 | Boeing | 136.74 Bn | 45.69 Bn | 2.17 Bn | 938.00 Mn |
| 4 | Lockheed Martin | 135.57 Bn | 119.80 Bn | 2.44 Bn | 2.87 Bn |
| 5 | General Dynamics | 97.85 Bn | 83.08 Bn | 2.25 Bn | 1.75 Bn |
| 6 | Motorola Solutions | 87.60 Bn | 84.06 Bn | 1.77 Bn | 927.00 Mn |
| 7 | Howmet Aerospace | 85.98 Bn | 81.73 Bn | 1.00 Bn | 870.00 Mn |
| 8 | Northrop Grumman | 76.55 Bn | 64.01 Bn | 2.35 Bn | 1.65 Bn |
| 9 | Honeywell International | 72.76 Bn | 32.28 Bn | 2.02 Bn | 769.00 Mn |
| 10 | TransDigm | 70.04 Bn | 58.05 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();