TransDigm (TDG) Other Non-Current Liabilities (2009 - 2026)
TransDigm's Other Non-Current Liabilities was $549 million in fiscal Q3 2026 (quarter ended Jun 27, 2026), up 21.7% from $451 million a year earlier and up 3.4% from the prior quarter.
TransDigm (TDG) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Other Non-Current Liabilities at TransDigm came in at $480 million, up 2.6% from FY2024.
- Other Non-Current Liabilities shows a five-year compound annual growth rate of -12.4% (FY2020 to FY2025).
- In earlier fiscal years, Other Non-Current Liabilities was $468 million in FY2024 (+13.6%), $412 million in FY2023 (-14.5%), $482 million in FY2022 (-31.6%) and $705 million in FY2021 (-24.4%).
- Quarterly Other Non-Current Liabilities has moved between $412 million (fiscal Q4 2023) and $705 million (fiscal Q4 2021) over five years.
- Compared with a year earlier, Other Non-Current Liabilities has increased for eight straight quarters, with growth averaging 13.4% over the last eight quarters.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was fiscal Q1 2026 (growth of 35.6%); the worst was fiscal Q3 2022 (a decline of 39.4%).
- Per Business Quant data, TDG's Other Non-Current Liabilities in the three fiscal quarters before Q3 2026 was $531 million (Q2 2026), $567 million (Q1 2026) and $480 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 320.36 Bn | 274.13 Bn | 4.68 Bn |
| 2 | Rtx | 247.12 Bn | 218.60 Bn | 5.13 Bn |
| 3 | Boeing | 147.44 Bn | 54.13 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 115.87 Bn | 102.60 Bn | 2.45 Bn |
| 5 | General Dynamics | 89.87 Bn | 76.98 Bn | 2.18 Bn |
| 6 | Howmet Aerospace | 86.73 Bn | 82.33 Bn | 951.00 Mn |
| 7 | Motorola Solutions | 74.51 Bn | 70.85 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.22 Bn | 57.46 Bn | 2.12 Bn |
| 9 | Honeywell International | 65.74 Bn | 17.87 Bn | 3.65 Bn |
| 10 | TransDigm | 63.64 Bn | 51.65 Bn | 1.63 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 549.00 Mn |
| Mar 28, 2026 | 531.00 Mn |
| Dec 27, 2025 | 567.00 Mn |
| Sep 30, 2025 | 480.00 Mn |
| Jun 28, 2025 | 451.00 Mn |
| Mar 29, 2025 | 428.00 Mn |
| Dec 28, 2024 | 418.00 Mn |
| Sep 30, 2024 | 468.00 Mn |
| Jun 29, 2024 | 415.00 Mn |
| Mar 30, 2024 | 427.00 Mn |
| Dec 30, 2023 | 416.00 Mn |
| Sep 30, 2023 | 412.00 Mn |
| Jul 1, 2023 | 442.00 Mn |
| Apr 1, 2023 | 431.00 Mn |
| Dec 31, 2022 | 427.00 Mn |
| Sep 30, 2022 | 482.00 Mn |
| Jul 2, 2022 | 473.00 Mn |
| Apr 2, 2022 | 487.00 Mn |
| Jan 1, 2022 | 599.00 Mn |
| Sep 30, 2021 | 705.00 Mn |
TransDigm Other 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=other-non-current-liabilities&ticker=TDG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=TDG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();