Amphenol (APH) Tax Provisions (2009 - 2026)
Amphenol's Tax Provisions came in at $604.3 million for Q2 2026, up 144.4% from $247.3 million a year earlier but down 14.0% from the prior quarter.
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Analysis
Amphenol (APH) Tax Provisions (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Amphenol reported Tax Provisions of $2.14 billion, up 170.3% 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 five-year range for quarterly Tax Provisions is $106.3 million (Q4 2021) to $702.4 million (Q1 2026).
- Year-over-year, Tax Provisions has increased for nine consecutive quarters, with growth averaging 113.9% 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 $702.4 million (Q1 2026), $443.6 million (Q4 2025) and $385.8 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 1.06 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 604.30 Mn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 529.00 Mn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 321.00 Mn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 248.00 Mn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 122.20 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 198.00 Mn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 183.00 Mn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 265.00 Mn |
| 10 | Cummins | 71.32 Bn | 68.45 Bn | 2.47 Bn | 325.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 120.50 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();