Rtx (RTX) Tax Provisions (2009 - 2026)
Rtx's Tax Provisions was $593 million in Q3 2026, up 37.3% from $432 million a year earlier and up 20.3% from the prior quarter.
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Analysis
Rtx (RTX) Tax Provisions (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Rtx's Tax Provisions was $2.03 billion through Sep 30, 2026, up 33.0% year-over-year; for FY2025, it came in at $1.66 billion, up 40.9% from FY2024.
- Tax Provisions shows a five-year compound annual growth rate of 23.7% (FY2020 to FY2025).
- In earlier years, Tax Provisions was $1.18 billion in FY2024 (+159.0%), $456 million in FY2023 (-42.3%), $790 million in FY2022 (-18.0%) and $964 million in FY2021 (+67.7%).
- The Q3 2026 figure marks the highest quarterly Tax Provisions since Q1 2020.
- Compared with a year earlier, Tax Provisions has increased for eight straight quarters, with growth averaging 56.7% over the last eight quarters.
- The best year-over-year quarter for Tax Provisions over five years was Q1 2025 (growth of 208.3%); the worst was Q1 2024 (a decline of 67.8%).
- Per Business Quant data, RTX's Tax Provisions in the three quarters before Q3 2026 was $493 million (Q2 2026), $363 million (Q1 2026) and $584 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 345.29 Bn | 303.80 Bn | 5.02 Bn | 385.00 Mn |
| 2 | Rtx | 264.83 Bn | 233.10 Bn | 5.81 Bn | 593.00 Mn |
| 3 | Boeing | 138.80 Bn | 47.76 Bn | 2.17 Bn | -7.00 Mn |
| 4 | Lockheed Martin | 135.13 Bn | 119.36 Bn | 2.44 Bn | 327.00 Mn |
| 5 | General Dynamics | 97.94 Bn | 83.17 Bn | 2.25 Bn | 257.00 Mn |
| 6 | Motorola Solutions | 86.64 Bn | 83.11 Bn | 1.77 Bn | 164.00 Mn |
| 7 | Howmet Aerospace | 86.01 Bn | 81.76 Bn | 1.00 Bn | 154.00 Mn |
| 8 | Northrop Grumman | 77.11 Bn | 64.57 Bn | 2.35 Bn | 174.00 Mn |
| 9 | Honeywell International | 72.46 Bn | 31.97 Bn | 2.02 Bn | 60.00 Mn |
| 10 | TransDigm | 70.72 Bn | 58.72 Bn | 1.63 Bn | 173.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 593.00 Mn |
| Jun 30, 2026 | 493.00 Mn |
| Mar 31, 2026 | 363.00 Mn |
| Dec 31, 2025 | 584.00 Mn |
| Sep 30, 2025 | 432.00 Mn |
| Jun 30, 2025 | 315.00 Mn |
| Mar 31, 2025 | 333.00 Mn |
| Dec 31, 2024 | 449.00 Mn |
| Sep 30, 2024 | 371.00 Mn |
| Jun 30, 2024 | 253.00 Mn |
| Mar 31, 2024 | 108.00 Mn |
| Dec 31, 2023 | 262.00 Mn |
| Sep 30, 2023 | -389.00 Mn |
| Jun 30, 2023 | 248.00 Mn |
| Mar 31, 2023 | 335.00 Mn |
| Dec 31, 2022 | 172.00 Mn |
| Sep 30, 2022 | 282.00 Mn |
| Jun 30, 2022 | 160.00 Mn |
| Mar 31, 2022 | 116.00 Mn |
| Dec 31, 2021 | 274.00 Mn |
API Access
Rtx 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=RTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "RTX", "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=RTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();