Amphenol (APH) Operating Expenses (2009 - 2026)
Amphenol (APH) recorded Operating Expenses of $963.4 million in Q2 2026, up 51.8% from $634.5 million a year earlier but down 82.4% from the prior quarter.
Powered by 
Analysis
Amphenol (APH) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Amphenol's Operating Expenses came in at $32.26 billion as of Jun 30, 2026, up 202.2% year-over-year; for FY2025, it came in at $33.6 billion, up 186.4% from FY2024.
- Annual Operating Expenses has increased for 16 straight years, with a five-year compound annual growth rate of 100.9% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $11.73 billion in FY2024 (+19.8%), $9.79 billion in FY2023 (+579.0%), $1.44 billion in FY2022 (+11.2%) and $1.3 billion in FY2021 (+26.4%).
- Quarterly Operating Expenses has ranged from $318.7 million in Q3 2021 to $21.4 billion in Q4 2025 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for 16 consecutive quarters, with growth averaging 364.4% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 799.2% in Q1 2025, against a decline of 3.2% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.48 billion (Q1 2026), $21.4 billion (Q4 2025) and $4.43 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 5.52 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 | 1.28 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 963.40 Mn |
| Mar 31, 2026 | 5.48 Bn |
| Dec 31, 2025 | 21.40 Bn |
| Sep 30, 2025 | 4.43 Bn |
| Jun 30, 2025 | 634.50 Mn |
| Mar 31, 2025 | 3.63 Bn |
| Dec 31, 2024 | 3.30 Bn |
| Sep 30, 2024 | 3.11 Bn |
| Jun 30, 2024 | 514.30 Mn |
| Mar 31, 2024 | 404.20 Mn |
| Dec 31, 2023 | 410.40 Mn |
| Sep 30, 2023 | 390.60 Mn |
| Jun 30, 2023 | 371.80 Mn |
| Mar 31, 2023 | 351.70 Mn |
| Dec 31, 2022 | 371.40 Mn |
| Sep 30, 2022 | 378.90 Mn |
| Jun 30, 2022 | 355.40 Mn |
| Mar 31, 2022 | 336.80 Mn |
| Dec 31, 2021 | 348.30 Mn |
| Sep 30, 2021 | 318.70 Mn |
API Access
Amphenol Operating Expenses 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=operating-expenses&ticker=APH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=APH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();