TransDigm (TDG) Accumulated Expenses (2009 - 2026)
TransDigm (TDG) recorded Accumulated Expenses of $1.28 billion in fiscal Q3 2026 (quarter ended Jun 27, 2026), up 12.0% from $1.14 billion a year earlier and up 9.8% from the prior quarter.
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Analysis
TransDigm (TDG) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), TransDigm reported Accumulated Expenses of $966 million, down 20.6% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- Across earlier fiscal years, Accumulated Expenses came in at $1.22 billion in FY2024 (+42.4%), $854 million in FY2023 (+18.4%), $721 million in FY2022 (-11.0%) and $810 million in FY2021 (+4.8%).
- Quarterly Accumulated Expenses has ranged from $634 million in fiscal Q2 2022 to $1.3 billion in fiscal Q1 2026 over the past five years.
- On a year-over-year basis, Accumulated Expenses has increased for three consecutive quarters, with growth averaging 13.6% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 42.4% in fiscal Q4 2024, against a decline of 20.6% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.16 billion (Q2 2026), $1.3 billion (Q1 2026) and $966 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn |
| 10 | TransDigm | 60.25 Bn | 48.34 Bn | 1.63 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 1.28 Bn |
| Mar 28, 2026 | 1.16 Bn |
| Dec 27, 2025 | 1.30 Bn |
| Sep 30, 2025 | 966.00 Mn |
| Jun 28, 2025 | 1.14 Bn |
| Mar 29, 2025 | 1.01 Bn |
| Dec 28, 2024 | 1.22 Bn |
| Sep 30, 2024 | 1.22 Bn |
| Jun 29, 2024 | 1.00 Bn |
| Mar 30, 2024 | 858.00 Mn |
| Dec 30, 2023 | 1.00 Bn |
| Sep 30, 2023 | 854.00 Mn |
| Jul 1, 2023 | 824.00 Mn |
| Apr 1, 2023 | 718.00 Mn |
| Dec 31, 2022 | 709.00 Mn |
| Sep 30, 2022 | 721.00 Mn |
| Jul 2, 2022 | 669.00 Mn |
| Apr 2, 2022 | 634.00 Mn |
| Jan 1, 2022 | 740.00 Mn |
| Sep 30, 2021 | 810.00 Mn |
API Access
TransDigm Accumulated Expenses 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=accumulated-expenses&ticker=TDG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=TDG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();