TransDigm (TDG) Non-Current Assets (2009 - 2026)
TransDigm's Non-Current Assets was $18.98 billion in fiscal Q3 2026 (quarter ended Jun 27, 2026), up 20.3% from $15.79 billion a year earlier and up 12.6% from the prior quarter.
TransDigm (TDG) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Non-Current Assets at TransDigm came in at $15.9 billion, up 2.2% from FY2024.
- Non-Current Assets has now increased for 16 consecutive fiscal years, with a five-year compound annual growth rate of 6.8% (FY2020 to FY2025).
- In earlier fiscal years, Non-Current Assets was $15.56 billion in FY2024 (+17.6%), $13.23 billion in FY2023 (+6.2%), $12.46 billion in FY2022 (+1.4%) and $12.29 billion in FY2021 (+7.4%).
- The fiscal Q3 2026 figure marks the highest quarterly Non-Current Assets in data going back to fiscal Q4 2009.
- Compared with a year earlier, Non-Current Assets has increased for 17 straight quarters, with growth averaging 12.1% over the last eight quarters.
- The best year-over-year quarter for Non-Current Assets over five years was fiscal Q3 2026 (growth of 20.3%); the worst was fiscal Q2 2022 (a decline of 0.8%).
- Per Business Quant data, TDG's Non-Current Assets in the three fiscal quarters before Q3 2026 was $16.86 billion (Q2 2026), $16.79 billion (Q1 2026) and $15.9 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 87.98 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 1.25 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 41.24 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 34.05 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 9.06 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 33.13 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 13.11 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 35.17 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 49.27 Bn |
| 10 | TransDigm | 61.31 Bn | 49.40 Bn | 1.63 Bn | 18.98 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 18.98 Bn |
| Mar 28, 2026 | 16.86 Bn |
| Dec 27, 2025 | 16.79 Bn |
| Sep 30, 2025 | 15.90 Bn |
| Jun 28, 2025 | 15.79 Bn |
| Mar 29, 2025 | 15.50 Bn |
| Dec 28, 2024 | 15.36 Bn |
| Sep 30, 2024 | 15.56 Bn |
| Jun 29, 2024 | 14.77 Bn |
| Mar 30, 2024 | 13.30 Bn |
| Dec 30, 2023 | 13.29 Bn |
| Sep 30, 2023 | 13.23 Bn |
| Jul 1, 2023 | 13.30 Bn |
| Apr 1, 2023 | 12.55 Bn |
| Dec 31, 2022 | 12.56 Bn |
| Sep 30, 2022 | 12.46 Bn |
| Jul 2, 2022 | 12.51 Bn |
| Apr 2, 2022 | 12.28 Bn |
| Jan 1, 2022 | 12.27 Bn |
| Sep 30, 2021 | 12.29 Bn |
TransDigm Non-Current Assets 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-current-assets&ticker=TDG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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-current-assets&ticker=TDG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();