Amphenol (APH) Capital Expenditures (2009 - 2026)
Amphenol's Capital Expenditures was $355.5 million in Q2 2026, up 19.7% from $297.1 million a year earlier and up 21.9% from the prior quarter.
Amphenol (APH) Capital Expenditures (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Amphenol's Capital Expenditures was $1.16 billion through Jun 30, 2026, up 26.5% year-over-year; for FY2025, it came in at $996.6 million, up 49.8% from FY2024.
- Capital Expenditures shows a five-year compound annual growth rate of 29.2% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $665.4 million in FY2024 (+78.5%), $372.8 million in FY2023 (-2.9%), $383.8 million in FY2022 (+6.5%) and $360.4 million in FY2021 (+30.2%).
- The Q2 2026 figure marks the highest quarterly Capital Expenditures in data going back to Q1 2009.
- Compared with a year earlier, Capital Expenditures has increased for nine straight quarters, with growth averaging 77.7% over the last eight quarters.
- The best year-over-year quarter for Capital Expenditures over five years was Q3 2024 (growth of 207.9%); the worst was Q3 2023 (a decline of 38.3%).
- Per Business Quant data, APH's Capital Expenditures in the three quarters before Q2 2026 was $291.6 million (Q1 2026), $253.7 million (Q4 2025) and $257.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 587.00 Mn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 355.50 Mn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 638.00 Mn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 253.00 Mn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 173.00 Mn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 173.30 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 102.00 Mn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 223.00 Mn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 92.00 Mn |
| 10 | Cummins | 71.32 Bn | 68.45 Bn | 2.47 Bn | 249.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 355.50 Mn |
| Mar 31, 2026 | 291.60 Mn |
| Dec 31, 2025 | 253.70 Mn |
| Sep 30, 2025 | 257.20 Mn |
| Jun 30, 2025 | 297.10 Mn |
| Mar 31, 2025 | 188.60 Mn |
| Dec 31, 2024 | 199.80 Mn |
| Sep 30, 2024 | 230.00 Mn |
| Jun 30, 2024 | 141.30 Mn |
| Mar 31, 2024 | 94.30 Mn |
| Dec 31, 2023 | 105.00 Mn |
| Sep 30, 2023 | 74.70 Mn |
| Jun 30, 2023 | 95.40 Mn |
| Mar 31, 2023 | 97.70 Mn |
| Dec 31, 2022 | 93.60 Mn |
| Sep 30, 2022 | 121.00 Mn |
| Jun 30, 2022 | 91.10 Mn |
| Mar 31, 2022 | 78.10 Mn |
| Dec 31, 2021 | 86.20 Mn |
| Sep 30, 2021 | 90.90 Mn |
Amphenol Capital Expenditures 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=capital-expenditures&ticker=APH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=APH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();