Amphenol (APH) Buildings (2009 - 2025)
Amphenol (APH) posted Buildings of $702.4 million for Q4 2025, up 29.4% from $543 million a year earlier.
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Analysis
Amphenol (APH) Buildings (2009 - 2025) Analysis & Trends
Since Q4 2009, Amphenol has reported Buildings for 17 quarters.
- Annual Buildings has increased for 16 consecutive years, with a five-year compound annual growth rate of 12.2% (FY2020 to FY2025).
- In prior years, Amphenol's Buildings was $543 million in FY2024 (+12.2%), $483.9 million in FY2023 (+12.8%), $428.9 million in FY2022 (+2.0%) and $420.6 million in FY2021 (+6.7%).
- The Q4 2025 figure stands as the highest quarterly Buildings in data going back to Q4 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn |
| 10 | Cummins | 71.32 Bn | 68.45 Bn | 2.47 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 702.40 Mn |
| Dec 31, 2024 | 543.00 Mn |
| Dec 31, 2023 | 483.90 Mn |
| Dec 31, 2022 | 428.90 Mn |
| Dec 31, 2021 | 420.60 Mn |
| Dec 31, 2020 | 394.30 Mn |
| Dec 31, 2019 | 347.40 Mn |
| Dec 31, 2018 | 325.70 Mn |
| Dec 31, 2017 | 322.30 Mn |
| Dec 31, 2016 | 281.70 Mn |
| Dec 31, 2015 | 254.90 Mn |
| Dec 31, 2014 | 241.90 Mn |
| Dec 31, 2013 | 184.40 Mn |
| Dec 31, 2012 | 167.88 Mn |
| Dec 31, 2011 | 159.57 Mn |
| Dec 31, 2010 | 158.43 Mn |
| Dec 31, 2009 | 152.27 Mn |
API Access
Amphenol Buildings 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=buildings&ticker=APH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=APH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();