TransDigm (TDG) Operating Expenses (2009 - 2026)
TransDigm's Operating Expenses came in at $332 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 37.2% from $242 million a year earlier and up 21.6% from the prior quarter.
Powered by 
Analysis
TransDigm (TDG) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, TransDigm reported Operating Expenses of $1.12 billion, up 16.9% year-over-year; for FY2025 (ended Sep 30, 2025), it was $945 million, down 3.6% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 5.4% (FY2020 to FY2025).
- Going back by fiscal year, Operating Expenses was $980 million in FY2024 (+25.6%), $780 million in FY2023 (+4.3%), $748 million in FY2022 (+9.2%) and $685 million in FY2021 (-5.8%).
- The fiscal Q3 2026 figure represents the highest quarterly Operating Expenses in data going back to fiscal Q3 2009.
- Year-over-year, Operating Expenses has increased for three consecutive quarters, with growth averaging 11.2% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q3 2026 (growth of 37.2%), and the weakest in fiscal Q4 2021 (a decline of 15.8%).
- Business Quant data shows TDG's Operating Expenses at $273 million (Q2 2026), $254 million (Q1 2026) and $256 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 326.51 Bn | 280.28 Bn | 4.68 Bn | 10.86 Bn |
| 2 | Rtx | 261.59 Bn | 233.07 Bn | 5.13 Bn | 21.96 Bn |
| 3 | Boeing | 150.29 Bn | 56.98 Bn | 2.41 Bn | 2.35 Bn |
| 4 | Lockheed Martin | 127.11 Bn | 113.84 Bn | 2.45 Bn | - |
| 5 | General Dynamics | 92.96 Bn | 80.08 Bn | 2.18 Bn | 12.63 Bn |
| 6 | Howmet Aerospace | 88.29 Bn | 83.89 Bn | 951.00 Mn | 156.00 Mn |
| 7 | Motorola Solutions | 76.82 Bn | 73.17 Bn | 1.68 Bn | 756.00 Mn |
| 8 | Northrop Grumman | 73.88 Bn | 63.12 Bn | 2.12 Bn | 9.78 Bn |
| 9 | Honeywell International | 67.03 Bn | 19.16 Bn | 3.65 Bn | 1.87 Bn |
| 10 | TransDigm | 65.36 Bn | 53.37 Bn | 1.63 Bn | 332.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 332.00 Mn |
| Mar 28, 2026 | 273.00 Mn |
| Dec 27, 2025 | 254.00 Mn |
| Sep 30, 2025 | 256.00 Mn |
| Jun 28, 2025 | 242.00 Mn |
| Mar 29, 2025 | 236.00 Mn |
| Dec 28, 2024 | 211.00 Mn |
| Sep 30, 2024 | 265.00 Mn |
| Jun 29, 2024 | 248.00 Mn |
| Mar 30, 2024 | 248.00 Mn |
| Dec 30, 2023 | 220.00 Mn |
| Sep 30, 2023 | 202.00 Mn |
| Jul 1, 2023 | 209.00 Mn |
| Apr 1, 2023 | 199.00 Mn |
| Dec 31, 2022 | 169.00 Mn |
| Sep 30, 2022 | 211.00 Mn |
| Jul 2, 2022 | 184.00 Mn |
| Apr 2, 2022 | 183.00 Mn |
| Jan 1, 2022 | 170.00 Mn |
| Sep 30, 2021 | 154.00 Mn |
API Access
TransDigm Operating Expenses 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=operating-expenses&ticker=TDG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=TDG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();