Amphenol (APH) EBITDA (2009 - 2026)
Amphenol (APH) reported EBITDA of $2.93 billion for Q2 2026, up 79.7% from $1.63 billion a year earlier and up 26.3% from the prior quarter.
Powered by 
Analysis
Amphenol (APH) EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Amphenol's EBITDA came in at $9.15 billion, up 82.6% year-over-year; for FY2025, it came in at $6.79 billion, up 82.1% from FY2024.
- EBITDA has a five-year compound annual growth rate of 28.4% (FY2020 to FY2025).
- By year, EBITDA came in at $3.73 billion in FY2024 (+25.7%), $2.97 billion in FY2023 (-0.4%), $2.98 billion in FY2022 (+19.1%) and $2.5 billion in FY2021 (+28.5%).
- The Q2 2026 figure ranks as the highest quarterly EBITDA in data going back to Q1 2009.
- Year over year, EBITDA has now increased in each of the last 11 quarters, with growth averaging 70.1% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was Q2 2025 (growth of 98.0%); the low point was Q2 2023 (a decline of 3.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.32 billion (Q1 2026), $1.97 billion (Q4 2025) and $1.93 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 753.70 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 1.69 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 1.32 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Cummins | 71.32 Bn | 68.45 Bn | 2.47 Bn | 1.56 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.93 Bn |
| Mar 31, 2026 | 2.32 Bn |
| Dec 31, 2025 | 1.97 Bn |
| Sep 30, 2025 | 1.93 Bn |
| Jun 30, 2025 | 1.63 Bn |
| Mar 31, 2025 | 1.26 Bn |
| Dec 31, 2024 | 1.10 Bn |
| Sep 30, 2024 | 1.02 Bn |
| Jun 30, 2024 | 822.40 Mn |
| Mar 31, 2024 | 788.60 Mn |
| Dec 31, 2023 | 805.00 Mn |
| Sep 30, 2023 | 758.90 Mn |
| Jun 30, 2023 | 714.00 Mn |
| Mar 31, 2023 | 688.00 Mn |
| Dec 31, 2022 | 774.40 Mn |
| Sep 30, 2022 | 783.80 Mn |
| Jun 30, 2022 | 739.60 Mn |
| Mar 31, 2022 | 680.90 Mn |
| Dec 31, 2021 | 714.00 Mn |
| Sep 30, 2021 | 666.40 Mn |
API Access
Amphenol EBITDA 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=ebitda&ticker=APH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=APH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();