Amphenol (APH) Tax Provisions (2009 - 2026)
Amphenol's Tax Provisions came in at $774.5 million for Q3 2026, up 100.8% from $385.8 million a year earlier and up 28.2% from the prior quarter.
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Analysis
Amphenol (APH) Tax Provisions (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Amphenol reported Tax Provisions of $2.52 billion, up 150.0% year-over-year; for FY2025, it came in at $1.3 billion, up 127.1% from FY2024.
- Tax Provisions carries a five-year compound annual growth rate of 32.8% (FY2020 to FY2025).
- Going back by year, Tax Provisions was $570.3 million in FY2024 (+12.0%), $509.3 million in FY2023 (-7.5%), $550.6 million in FY2022 (+34.6%) and $409.1 million in FY2021 (+30.6%).
- The Q3 2026 figure represents the highest quarterly Tax Provisions in data going back to Q1 2009.
- Year-over-year, Tax Provisions has increased for ten consecutive quarters, with growth averaging 120.9% over the last eight quarters.
- The fastest year-over-year change in Tax Provisions over five years came in Q1 2026 (growth of 221.2%), and the weakest in Q3 2023 (a decline of 23.4%).
- Business Quant data shows APH's Tax Provisions at $604.3 million (Q2 2026), $702.4 million (Q1 2026) and $443.6 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 256.79 Bn | 228.09 Bn | 7.35 Bn | 968.00 Mn |
| 2 | Amphenol | 183.76 Bn | 178.46 Bn | 4.02 Bn | 774.50 Mn |
| 3 | Deere | 181.25 Bn | 149.34 Bn | 4.66 Bn | 529.00 Mn |
| 4 | Eaton | 132.82 Bn | 129.76 Bn | 3.11 Bn | 291.00 Mn |
| 5 | Parker-Hannifin | 115.39 Bn | 113.27 Bn | 2.26 Bn | 253.00 Mn |
| 6 | 3M | 96.09 Bn | 77.53 Bn | 2.78 Bn | 261.00 Mn |
| 7 | Emerson Electric | 90.66 Bn | 83.40 Bn | 2.66 Bn | 198.00 Mn |
| 8 | Illinois Tool Works | 79.95 Bn | 76.63 Bn | 1.91 Bn | 276.00 Mn |
| 9 | Vertiv Holdings | 70.25 Bn | 59.10 Bn | 1.64 Bn | 230.30 Mn |
| 10 | Tenaris | 62.09 Bn | 33.35 Bn | 1.07 Bn | -135.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 774.50 Mn |
| Jun 30, 2026 | 604.30 Mn |
| Mar 31, 2026 | 702.40 Mn |
| Dec 31, 2025 | 443.60 Mn |
| Sep 30, 2025 | 385.80 Mn |
| Jun 30, 2025 | 247.30 Mn |
| Mar 31, 2025 | 218.70 Mn |
| Dec 31, 2024 | 158.30 Mn |
| Sep 30, 2024 | 166.10 Mn |
| Jun 30, 2024 | 135.10 Mn |
| Mar 31, 2024 | 110.70 Mn |
| Dec 31, 2023 | 146.30 Mn |
| Sep 30, 2023 | 115.20 Mn |
| Jun 30, 2023 | 130.60 Mn |
| Mar 31, 2023 | 117.20 Mn |
| Dec 31, 2022 | 121.40 Mn |
| Sep 30, 2022 | 150.40 Mn |
| Jun 30, 2022 | 144.50 Mn |
| Mar 31, 2022 | 134.20 Mn |
| Dec 31, 2021 | 106.30 Mn |
API Access
Amphenol 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=APH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "APH", "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=APH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();