TransDigm (TDG) Buildings (2010 - 2025)
TransDigm (TDG) recorded Buildings of $794 million in fiscal Q4 2025 (quarter ended Sep 30, 2025), up 8.3% from $733 million a year earlier.
Analysis
TransDigm (TDG) Buildings (2010 - 2025) Analysis & Trends
Starting with fiscal Q4 2010, TransDigm's Buildings history includes 16 quarters.
- Annual Buildings has increased for five straight fiscal years, with a five-year compound annual growth rate of 17.8% (FY2020 to FY2025).
- Across earlier fiscal years, Buildings came in at $733 million in FY2024 (+29.3%), $567 million in FY2023 (+23.0%), $461 million in FY2022 (+12.7%) and $409 million in FY2021 (+16.9%).
- The fiscal Q4 2025 figure is the highest quarterly Buildings in data going back to fiscal Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn |
| 10 | TransDigm | 60.79 Bn | 48.88 Bn | 1.63 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 794.00 Mn |
| Sep 30, 2024 | 733.00 Mn |
| Sep 30, 2023 | 567.00 Mn |
| Sep 30, 2022 | 461.00 Mn |
| Sep 30, 2021 | 409.00 Mn |
| Sep 30, 2020 | 350.00 Mn |
| Sep 30, 2019 | 408.00 Mn |
| Sep 30, 2018 | 171.27 Mn |
| Sep 30, 2017 | 161.99 Mn |
| Sep 30, 2016 | 153.69 Mn |
| Sep 30, 2015 | 133.29 Mn |
| Sep 30, 2014 | 114.03 Mn |
| Sep 30, 2013 | 99.12 Mn |
| Sep 30, 2012 | 78.63 Mn |
| Sep 30, 2011 | 58.69 Mn |
| Sep 30, 2010 | 43.31 Mn |
API Access
TransDigm Buildings 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=buildings&ticker=TDG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=TDG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();