TransDigm (TDG) Total Liabilities (2009 - 2026)
TransDigm's Total Liabilities was $36.56 billion in fiscal Q3 2026 (quarter ended Jun 27, 2026), up 32.0% from $27.7 billion a year earlier and up 5.0% from the prior quarter.
TransDigm (TDG) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Total Liabilities at TransDigm came in at $32.6 billion, up 2.3% from FY2024.
- Total Liabilities has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 7.8% (FY2020 to FY2025).
- In earlier fiscal years, Total Liabilities was $31.87 billion in FY2024 (+45.2%), $21.95 billion in FY2023 (+0.3%), $21.87 billion in FY2022 (-1.6%) and $22.23 billion in FY2021 (-0.6%).
- The fiscal Q3 2026 figure marks the highest quarterly Total Liabilities in data going back to fiscal Q4 2009.
- Compared with a year earlier, Total Liabilities has increased for 14 straight quarters, with growth averaging 20.7% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q4 2024 (growth of 45.2%); the worst was fiscal Q2 2022 (a decline of 2.4%).
- Per Business Quant data, TDG's Total Liabilities in the three fiscal quarters before Q3 2026 was $34.84 billion (Q2 2026), $33.02 billion (Q1 2026) and $32.6 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn | 109.81 Bn |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn | 105.86 Bn |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn | 159.76 Bn |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn | 53.68 Bn |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn | 7.52 Bn |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn | 33.34 Bn |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn | 16.55 Bn |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn | 32.88 Bn |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn | 58.49 Bn |
| 10 | TransDigm | 60.79 Bn | 48.88 Bn | 1.63 Bn | 36.56 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 36.56 Bn |
| Mar 28, 2026 | 34.84 Bn |
| Dec 27, 2025 | 33.02 Bn |
| Sep 30, 2025 | 32.60 Bn |
| Jun 28, 2025 | 27.70 Bn |
| Mar 29, 2025 | 27.57 Bn |
| Dec 28, 2024 | 27.77 Bn |
| Sep 30, 2024 | 31.87 Bn |
| Jun 29, 2024 | 24.34 Bn |
| Mar 30, 2024 | 24.60 Bn |
| Dec 30, 2023 | 24.19 Bn |
| Sep 30, 2023 | 21.95 Bn |
| Jul 1, 2023 | 21.94 Bn |
| Apr 1, 2023 | 22.90 Bn |
| Dec 31, 2022 | 21.82 Bn |
| Sep 30, 2022 | 21.87 Bn |
| Jul 2, 2022 | 21.79 Bn |
| Apr 2, 2022 | 21.73 Bn |
| Jan 1, 2022 | 21.87 Bn |
| Sep 30, 2021 | 22.23 Bn |
TransDigm Total 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-liabilities&ticker=TDG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=TDG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();