TransDigm (TDG) Non Operating Interest Expenses (2023 - 2026)
TransDigm's Non Operating Interest Expenses came in at $514 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 29.5% from $397 million a year earlier and up 6.2% from the prior quarter.
TransDigm (TDG) Non Operating Interest Expenses (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, TransDigm reported Non Operating Interest Expenses of $1.87 billion, up 27.3% year-over-year.
- The fiscal Q3 2026 figure represents the highest quarterly Non Operating Interest Expenses in data going back to fiscal Q1 2024.
- Year-over-year, Non Operating Interest Expenses has increased for three consecutive quarters, with growth averaging 25.1% over the last six quarters.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 215.00 Mn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | - |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 600.00 Mn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 266.00 Mn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | - |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | - |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 109.00 Mn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 161.00 Mn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 363.00 Mn |
| 10 | TransDigm | 60.25 Bn | 48.34 Bn | 1.63 Bn | 514.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 514.00 Mn |
| Mar 28, 2026 | 484.00 Mn |
| Dec 27, 2025 | 475.00 Mn |
| Jun 28, 2025 | 397.00 Mn |
| Mar 29, 2025 | 378.00 Mn |
| Dec 28, 2024 | 378.00 Mn |
| Jun 29, 2024 | 316.00 Mn |
| Mar 30, 2024 | 326.00 Mn |
| Dec 30, 2023 | 300.00 Mn |
TransDigm Non Operating Interest 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=non-operating-interest-expenses&ticker=TDG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=TDG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();