TransDigm (TDG) Change in Inventory (2009 - 2026)
TransDigm (TDG) posted Change in Inventory of $87 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 107.1% from $42 million a year earlier and up 77.6% from the prior quarter.
TransDigm (TDG) Change in Inventory (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Change in Inventory at TransDigm was $230 million, up 88.5% year-over-year; for FY2025 (ended Sep 30, 2025), it was $156 million, up 50.0% from FY2024.
- Annual Change in Inventory shows a five-year compound annual growth rate of 20.3% (FY2020 to FY2025).
- In prior fiscal years, TransDigm's Change in Inventory was $104 million in FY2024 (-60.2%), $261 million in FY2023 (+94.8%), $134 million in FY2022 and -$79 million in FY2021.
- Quarterly Change in Inventory has run from a low of -$39 million in fiscal Q4 2021 to a high of $96 million in fiscal Q1 2026 over five years.
- On a year-over-year basis, Change in Inventory has increased in each of the last three quarters, with growth averaging 38.0% over the last six quarters.
- The strongest year-over-year quarter for Change in Inventory in the past five years was fiscal Q2 2023, with growth of 190.0%; the weakest was fiscal Q3 2024, with a decline of 61.8%.
- According to Business Quant data, Change in Inventory for the three prior fiscal quarters was $49 million (Q2 2026), $96 million (Q1 2026) and -$2 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 320.36 Bn | 274.13 Bn | 4.68 Bn | 109.00 Mn |
| 2 | Rtx | 247.12 Bn | 218.60 Bn | 5.13 Bn | 330.00 Mn |
| 3 | Boeing | 147.44 Bn | 54.13 Bn | 2.41 Bn | 1.23 Bn |
| 4 | Lockheed Martin | 115.87 Bn | 102.60 Bn | 2.45 Bn | 160.00 Mn |
| 5 | General Dynamics | 89.87 Bn | 76.98 Bn | 2.18 Bn | -80.00 Mn |
| 6 | Howmet Aerospace | 86.73 Bn | 82.33 Bn | 951.00 Mn | 55.00 Mn |
| 7 | Motorola Solutions | 74.51 Bn | 70.85 Bn | 1.68 Bn | 156.00 Mn |
| 8 | Northrop Grumman | 68.22 Bn | 57.46 Bn | 2.12 Bn | -26.00 Mn |
| 9 | Honeywell International | 65.74 Bn | 17.87 Bn | 3.65 Bn | 31.00 Mn |
| 10 | TransDigm | 63.64 Bn | 51.65 Bn | 1.63 Bn | 87.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 87.00 Mn |
| Mar 28, 2026 | 49.00 Mn |
| Dec 27, 2025 | 96.00 Mn |
| Sep 30, 2025 | -2.00 Mn |
| Jun 28, 2025 | 42.00 Mn |
| Mar 29, 2025 | 44.00 Mn |
| Dec 28, 2024 | 72.00 Mn |
| Sep 30, 2024 | -36.00 Mn |
| Jun 29, 2024 | 26.00 Mn |
| Mar 30, 2024 | 36.00 Mn |
| Dec 30, 2023 | 78.00 Mn |
| Sep 30, 2023 | 17.00 Mn |
| Jul 1, 2023 | 68.00 Mn |
| Apr 1, 2023 | 87.00 Mn |
| Dec 31, 2022 | 89.00 Mn |
| Sep 30, 2022 | 26.00 Mn |
| Jul 2, 2022 | 46.00 Mn |
| Apr 2, 2022 | 30.00 Mn |
| Jan 1, 2022 | 32.00 Mn |
| Sep 30, 2021 | -39.00 Mn |
TransDigm Change in 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=change-in-inventory&ticker=TDG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-inventory&ticker=TDG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();