Hewlett Packard Enterprise Co (HPE-PC) Operating Interest Expenses (2015 - 2024)
Hewlett Packard Enterprise (HPE-PC) reported Operating Interest Expenses of $500 million for FY2025 (year ended Oct 31, 2025), up 1.0% from $495 million in FY2024.
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Analysis
Hewlett Packard Enterprise Co (HPE-PC) Operating Interest Expenses (2015 - 2024) Analysis & Trends
Dating back to FY2013, Hewlett Packard Enterprise's Operating Interest Expenses record includes 13 fiscal years.
- Operating Interest Expenses has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 13.0% (FY2020 to FY2025).
- The FY2025 figure ranks as the highest annual Operating Interest Expenses in data going back to FY2013.
- According to Business Quant data, Operating Interest Expenses came in at $495 million in FY2024 (+29.2%), $383 million in FY2023 (+81.5%), $211 million in FY2022 (-0.5%) and $212 million in FY2021 (-21.8%).
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Oct 31, 2024 | 128.00 Mn |
| Jul 31, 2024 | 125.00 Mn |
| Apr 30, 2024 | 123.00 Mn |
| Jan 31, 2024 | 119.00 Mn |
| Oct 31, 2023 | 113.00 Mn |
| Jul 31, 2023 | 102.00 Mn |
| Apr 30, 2023 | 90.00 Mn |
| Jan 31, 2023 | 78.00 Mn |
| Oct 31, 2022 | -37.00 Mn |
| Jul 31, 2022 | 54.00 Mn |
| Apr 30, 2022 | 148.00 Mn |
| Jan 31, 2022 | 46.00 Mn |
| Oct 31, 2021 | 48.00 Mn |
| Jul 31, 2021 | 51.00 Mn |
| Apr 30, 2021 | 54.00 Mn |
| Jan 31, 2021 | 59.00 Mn |
| Oct 31, 2020 | 62.00 Mn |
| Jul 31, 2020 | 65.00 Mn |
| Apr 30, 2020 | 71.00 Mn |
| Jan 31, 2020 | 73.00 Mn |
API Access
Hewlett Packard Enterprise Co Operating Interest 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-interest-expenses&ticker=HPE-PC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-interest-expenses", "ticker": "HPE-PC", "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-interest-expenses&ticker=HPE-PC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();