TransDigm (TDG) Total Non-Current Liabilities (2009 - 2026)
TransDigm's Total Non-Current Liabilities came in at $36.01 billion for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 32.2% from $27.25 billion a year earlier and up 5.0% from the prior quarter.
TransDigm (TDG) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), TransDigm's Total Non-Current Liabilities was $32.12 billion, up 2.3% from FY2024.
- Total Non-Current Liabilities has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- Going back by fiscal year, Total Non-Current Liabilities was $31.4 billion in FY2024 (+45.8%), $21.54 billion in FY2023 (+0.7%), $21.39 billion in FY2022 (-0.6%) and $21.52 billion in FY2021 (+0.4%).
- The fiscal Q3 2026 figure represents the highest quarterly Total Non-Current Liabilities in data going back to fiscal Q4 2009.
- Year-over-year, Total Non-Current Liabilities has increased for 15 consecutive quarters, with growth averaging 20.8% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in fiscal Q4 2024 (growth of 45.8%), and the weakest in fiscal Q2 2022 (a decline of 1.0%).
- Business Quant data shows TDG's Total Non-Current Liabilities at $34.31 billion (Q2 2026), $32.45 billion (Q1 2026) and $32.12 billion (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 102.53 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 86.00 Mn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 157.29 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 48.28 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 6.90 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 14.57 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 14.44 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 30.72 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 52.22 Bn |
| 10 | TransDigm | 59.83 Bn | 47.91 Bn | 1.63 Bn | 36.01 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 36.01 Bn |
| Mar 28, 2026 | 34.31 Bn |
| Dec 27, 2025 | 32.45 Bn |
| Sep 30, 2025 | 32.12 Bn |
| Jun 28, 2025 | 27.25 Bn |
| Mar 29, 2025 | 27.14 Bn |
| Dec 28, 2024 | 27.35 Bn |
| Sep 30, 2024 | 31.40 Bn |
| Jun 29, 2024 | 23.92 Bn |
| Mar 30, 2024 | 24.17 Bn |
| Dec 30, 2023 | 23.78 Bn |
| Sep 30, 2023 | 21.54 Bn |
| Jul 1, 2023 | 21.50 Bn |
| Apr 1, 2023 | 22.47 Bn |
| Dec 31, 2022 | 21.39 Bn |
| Sep 30, 2022 | 21.39 Bn |
| Jul 2, 2022 | 21.31 Bn |
| Apr 2, 2022 | 21.25 Bn |
| Jan 1, 2022 | 21.27 Bn |
| Sep 30, 2021 | 21.52 Bn |
TransDigm Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=TDG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=TDG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();