Hewlett Packard Enterprise Co (HPE-PC) Price to Book (2015 - 2026)
Hewlett Packard Enterprise's Price to Book was 2.39 in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 114.6% from 1.12 a year earlier and up 59.4% from the prior quarter.
Hewlett Packard Enterprise Co (HPE-PC) Price to Book (2015 - 2026) Analysis & Trends
For FY2025 (ended Oct 31, 2025), Price to Book at Hewlett Packard Enterprise came in at 1.30, up 28.0% from FY2024.
- Price to Book has now increased for three consecutive fiscal years.
- In earlier fiscal years, Price to Book was 1.02 in FY2024 (+9.4%), 0.93 in FY2023 (+1.2%), 0.92 in FY2022 (-3.1%) and 0.95 in FY2021 (+37.2%).
- The fiscal Q3 2026 figure marks the highest quarterly Price to Book in data going back to fiscal Q4 2015.
- Compared with a year earlier, Price to Book has increased for four straight quarters, with growth averaging 28.4% over the last eight quarters.
- The best year-over-year quarter for Price to Book over five years was fiscal Q3 2026 (growth of 114.6%); the worst was fiscal Q2 2022 (a decline of 22.7%).
- Per Business Quant data, HPE-PC's Price to Book in the three fiscal quarters before Q3 2026 was 1.50 (Q2 2026), 1.15 (Q1 2026) and 1.30 (Q4 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.39 |
| Apr 30, 2026 | 1.50 |
| Jan 31, 2026 | 1.15 |
| Oct 31, 2025 | 1.30 |
| Jul 31, 2025 | 1.12 |
| Apr 30, 2025 | 0.89 |
| Jan 31, 2025 | 1.10 |
| Oct 31, 2024 | 1.02 |
| Jul 31, 2024 | 1.17 |
| Apr 30, 2024 | 1.02 |
| Jan 31, 2024 | 0.93 |
| Oct 31, 2023 | 0.93 |
| Jul 31, 2023 | 1.08 |
| Apr 30, 2023 | 0.91 |
| Jan 31, 2023 | 1.04 |
| Oct 31, 2022 | 0.92 |
| Jul 31, 2022 | 0.89 |
| Apr 30, 2022 | 0.97 |
| Jan 31, 2022 | 1.04 |
| Oct 31, 2021 | 0.95 |
Hewlett Packard Enterprise Co Price to Book 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=price-to-book&ticker=HPE-PC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=HPE-PC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();