TransDigm (TDG) Inventory (2009 - 2026)
TransDigm (TDG) reported Inventory of $2.59 billion for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 24.1% from $2.08 billion a year earlier and up 7.8% from the prior quarter.
TransDigm (TDG) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), TransDigm posted Inventory of $2.1 billion, up 11.7% from FY2024.
- Inventory has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 10.3% (FY2020 to FY2025).
- By fiscal year, Inventory came in at $1.88 billion in FY2024 (+16.1%), $1.62 billion in FY2023 (+21.3%), $1.33 billion in FY2022 (+12.4%) and $1.19 billion in FY2021 (-7.6%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Inventory in data going back to fiscal Q4 2009.
- Year over year, Inventory has now increased in each of the last 18 quarters, with growth averaging 16.6% over the last eight quarters.
- The high point for year-over-year Inventory in five years was fiscal Q3 2026 (growth of 24.1%); the low point was fiscal Q4 2021 (a decline of 7.6%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $2.4 billion (Q2 2026), $2.37 billion (Q1 2026) and $2.1 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn | 12.44 Bn |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn | 14.41 Bn |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn | 88.39 Bn |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn | 4.41 Bn |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn | 2.18 Bn |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn | 9.10 Bn |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn | 1.33 Bn |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn | 1.42 Bn |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn | 6.40 Bn |
| 10 | TransDigm | 60.79 Bn | 48.88 Bn | 1.63 Bn | 2.59 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 2.59 Bn |
| Mar 28, 2026 | 2.40 Bn |
| Dec 27, 2025 | 2.37 Bn |
| Sep 30, 2025 | 2.10 Bn |
| Jun 28, 2025 | 2.08 Bn |
| Mar 29, 2025 | 2.01 Bn |
| Dec 28, 2024 | 1.93 Bn |
| Sep 30, 2024 | 1.88 Bn |
| Jun 29, 2024 | 1.88 Bn |
| Mar 30, 2024 | 1.75 Bn |
| Dec 30, 2023 | 1.71 Bn |
| Sep 30, 2023 | 1.62 Bn |
| Jul 1, 2023 | 1.60 Bn |
| Apr 1, 2023 | 1.53 Bn |
| Dec 31, 2022 | 1.44 Bn |
| Sep 30, 2022 | 1.33 Bn |
| Jul 2, 2022 | 1.32 Bn |
| Apr 2, 2022 | 1.24 Bn |
| Jan 1, 2022 | 1.22 Bn |
| Sep 30, 2021 | 1.19 Bn |
TransDigm Inventory 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=inventory&ticker=TDG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=TDG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();