TransDigm (TDG) Prepaid Assets (2009 - 2026)
TransDigm (TDG) posted Prepaid Assets of $595 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 14.0% from $522 million a year earlier and up 3.5% from the prior quarter.
TransDigm (TDG) Prepaid Assets (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), TransDigm's Prepaid Assets came in at $492 million, down 3.7% from FY2024.
- Annual Prepaid Assets shows a five-year compound annual growth rate of 15.4% (FY2020 to FY2025).
- In prior fiscal years, TransDigm's Prepaid Assets was $511 million in FY2024 (+21.7%), $420 million in FY2023 (+20.3%), $349 million in FY2022 (+30.7%) and $267 million in FY2021 (+11.3%).
- The fiscal Q3 2026 figure stands as the highest quarterly Prepaid Assets in data going back to fiscal Q4 2009.
- On a year-over-year basis, Prepaid Assets has increased in each of the last three quarters, with growth averaging 8.9% over the last eight quarters.
- The strongest year-over-year quarter for Prepaid Assets in the past five years was fiscal Q3 2023, with growth of 41.1%; the weakest was fiscal Q2 2022, with a decline of 14.3%.
- According to Business Quant data, Prepaid Assets for the three prior fiscal quarters was $575 million (Q2 2026), $506 million (Q1 2026) and $492 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 303.30 Bn | 262.05 Bn | 5.02 Bn |
| 2 | Rtx | 262.79 Bn | 232.77 Bn | 5.81 Bn |
| 3 | Boeing | 148.22 Bn | 54.92 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 136.34 Bn | 120.57 Bn | 2.44 Bn |
| 5 | General Dynamics | 94.90 Bn | 82.01 Bn | 2.18 Bn |
| 6 | Motorola Solutions | 79.08 Bn | 75.44 Bn | 1.68 Bn |
| 7 | Northrop Grumman | 78.49 Bn | 65.95 Bn | 2.35 Bn |
| 8 | Howmet Aerospace | 77.28 Bn | 72.89 Bn | 951.00 Mn |
| 9 | Honeywell International | 69.19 Bn | 21.64 Bn | 3.65 Bn |
| 10 | TransDigm | 63.12 Bn | 51.21 Bn | 1.63 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 595.00 Mn |
| Mar 28, 2026 | 575.00 Mn |
| Dec 27, 2025 | 506.00 Mn |
| Sep 30, 2025 | 492.00 Mn |
| Jun 28, 2025 | 522.00 Mn |
| Mar 29, 2025 | 530.00 Mn |
| Dec 28, 2024 | 482.00 Mn |
| Sep 30, 2024 | 511.00 Mn |
| Jun 29, 2024 | 523.00 Mn |
| Mar 30, 2024 | 490.00 Mn |
| Dec 30, 2023 | 408.00 Mn |
| Sep 30, 2023 | 420.00 Mn |
| Jul 1, 2023 | 419.00 Mn |
| Apr 1, 2023 | 391.00 Mn |
| Dec 31, 2022 | 342.00 Mn |
| Sep 30, 2022 | 349.00 Mn |
| Jul 2, 2022 | 297.00 Mn |
| Apr 2, 2022 | 312.00 Mn |
| Jan 1, 2022 | 270.00 Mn |
| Sep 30, 2021 | 267.00 Mn |
TransDigm Prepaid 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=prepaid-assets&ticker=TDG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-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=prepaid-assets&ticker=TDG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();