Amphenol (APH) Other Accumulated Expenses (2009 - 2026)
Amphenol's Other Accumulated Expenses was $2.26 billion in Q2 2026, up 74.3% from $1.3 billion a year earlier and up 10.6% from the prior quarter.
Amphenol (APH) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Other Accumulated Expenses at Amphenol came in at $1.65 billion, up 76.2% from FY2024.
- Other Accumulated Expenses has now increased for five consecutive years, with a five-year compound annual growth rate of 28.9% (FY2020 to FY2025).
- In earlier years, Other Accumulated Expenses was $934.4 million in FY2024 (+26.7%), $737.5 million in FY2023 (+12.9%), $653.2 million in FY2022 (+17.4%) and $556.3 million in FY2021 (+20.2%).
- The Q2 2026 figure marks the highest quarterly Other Accumulated Expenses in data going back to Q2 2009.
- Compared with a year earlier, Other Accumulated Expenses has increased for 15 straight quarters, with growth averaging 54.9% over the last eight quarters.
- The best year-over-year quarter for Other Accumulated Expenses over five years was Q4 2025 (growth of 76.2%); the worst was Q3 2022 (a decline of 3.0%).
- Per Business Quant data, APH's Other Accumulated Expenses in the three quarters before Q2 2026 was $2.04 billion (Q1 2026), $1.65 billion (Q4 2025) and $1.44 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 379.87 Bn | 351.57 Bn | 7.76 Bn |
| 2 | Amphenol | 211.41 Bn | 206.11 Bn | 3.55 Bn |
| 3 | Deere | 179.93 Bn | 188.69 Bn | 4.66 Bn |
| 4 | Eaton | 169.93 Bn | 167.16 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 121.78 Bn | 119.91 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 94.75 Bn | 85.37 Bn | 1.23 Bn |
| 7 | Emerson Electric | 88.42 Bn | 81.17 Bn | 2.66 Bn |
| 8 | 3M | 84.08 Bn | 65.54 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 74.29 Bn | 70.85 Bn | 1.90 Bn |
| 10 | Cummins | 71.19 Bn | 68.32 Bn | 2.47 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.26 Bn |
| Mar 31, 2026 | 2.04 Bn |
| Dec 31, 2025 | 1.65 Bn |
| Sep 30, 2025 | 1.44 Bn |
| Jun 30, 2025 | 1.30 Bn |
| Mar 31, 2025 | 1.16 Bn |
| Dec 31, 2024 | 934.40 Mn |
| Sep 30, 2024 | 932.10 Mn |
| Jun 30, 2024 | 870.40 Mn |
| Mar 31, 2024 | 771.70 Mn |
| Dec 31, 2023 | 737.50 Mn |
| Sep 30, 2023 | 704.20 Mn |
| Jun 30, 2023 | 679.50 Mn |
| Mar 31, 2023 | 665.80 Mn |
| Dec 31, 2022 | 653.20 Mn |
| Sep 30, 2022 | 645.90 Mn |
| Jun 30, 2022 | 617.20 Mn |
| Mar 31, 2022 | 589.20 Mn |
| Dec 31, 2021 | 556.30 Mn |
| Sep 30, 2021 | 666.10 Mn |
Amphenol Other Accumulated 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=other-accumulated-expenses&ticker=APH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=APH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();