TransDigm (TDG) Tax Provisions (2009 - 2026)
TransDigm's Tax Provisions came in at $173 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 21.8% from $142 million a year earlier and up 5.5% from the prior quarter.
TransDigm (TDG) Tax Provisions (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, TransDigm reported Tax Provisions of $608 million, up 10.7% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $555 million, up 11.0% from FY2024.
- Tax Provisions has increased in each of the last four fiscal years, with a five-year compound annual growth rate of 44.9% (FY2020 to FY2025).
- Going back by fiscal year, Tax Provisions was $500 million in FY2024 (+19.9%), $417 million in FY2023 (+59.8%), $261 million in FY2022 (+667.6%) and $34 million in FY2021 (-60.9%).
- The fiscal Q3 2026 figure represents the highest quarterly Tax Provisions in data going back to fiscal Q3 2009.
- Year-over-year, Tax Provisions has increased for 16 consecutive quarters, with growth averaging 10.9% over the last eight quarters.
- Across the past five years, year-over-year growth in Tax Provisions ran from 0.7% in fiscal Q3 2025 to 900.0% in fiscal Q1 2022.
- Business Quant data shows TDG's Tax Provisions at $164 million (Q2 2026), $127 million (Q1 2026) and $144 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 407.00 Mn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 493.00 Mn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 63.00 Mn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 342.00 Mn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 115.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 247.00 Mn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 184.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 74.00 Mn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 1.58 Bn |
| 10 | TransDigm | 59.83 Bn | 47.91 Bn | 1.63 Bn | 173.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 173.00 Mn |
| Mar 28, 2026 | 164.00 Mn |
| Dec 27, 2025 | 127.00 Mn |
| Sep 30, 2025 | 144.00 Mn |
| Jun 28, 2025 | 142.00 Mn |
| Mar 29, 2025 | 143.00 Mn |
| Dec 28, 2024 | 126.00 Mn |
| Sep 30, 2024 | 138.00 Mn |
| Jun 29, 2024 | 141.00 Mn |
| Mar 30, 2024 | 115.00 Mn |
| Dec 30, 2023 | 106.00 Mn |
| Sep 30, 2023 | 136.00 Mn |
| Jul 1, 2023 | 117.00 Mn |
| Apr 1, 2023 | 93.00 Mn |
| Dec 31, 2022 | 72.00 Mn |
| Sep 30, 2022 | 96.00 Mn |
| Jul 2, 2022 | 73.00 Mn |
| Apr 2, 2022 | 61.00 Mn |
| Jan 1, 2022 | 30.00 Mn |
| Sep 30, 2021 | 79.00 Mn |
TransDigm Tax Provisions 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=tax-provisions&ticker=TDG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=TDG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();