Hewlett Packard Enterprise (HPE) Inventory (2014 - 2026)
Hewlett Packard Enterprise's Inventory came in at $11.82 billion for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 65.1% from $7.16 billion a year earlier and up 30.9% from the prior quarter.
Hewlett Packard Enterprise (HPE) Inventory (2014 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Hewlett Packard Enterprise's Inventory was $6.35 billion, down 18.7% from FY2024.
- Inventory carries a five-year compound annual growth rate of 18.9% (FY2020 to FY2025).
- Going back by fiscal year, Inventory was $7.81 billion in FY2024 (+69.5%), $4.61 billion in FY2023 (-10.7%), $5.16 billion in FY2022 (+14.4%) and $4.51 billion in FY2021 (+68.7%).
- The fiscal Q3 2026 figure represents the highest quarterly Inventory in data going back to fiscal Q4 2014.
- Year-over-year, Inventory increased in five of the last eight quarters, with growth averaging 19.2%.
- The fastest year-over-year change in Inventory over five years came in fiscal Q1 2022 (growth of 90.6%), and the weakest in fiscal Q1 2026 (a decline of 19.4%).
- Business Quant data shows HPE's Inventory at $9.03 billion (Q2 2026), $6.91 billion (Q1 2026) and $6.35 billion (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,865.08 Bn | 4,612.57 Bn | 54.77 Bn | 11.09 Bn |
| 2 | Cisco Systems | 424.71 Bn | 360.64 Bn | 11.06 Bn | 5.69 Bn |
| 3 | Dell Technologies | 344.52 Bn | 300.28 Bn | 9.83 Bn | 21.29 Bn |
| 4 | Arista Networks | 256.79 Bn | 210.25 Bn | 1.91 Bn | 2.54 Bn |
| 5 | Sandisk | 254.02 Bn | 242.55 Bn | 7.58 Bn | 2.70 Bn |
| 6 | Seagate Technology Holdings | 209.18 Bn | 204.17 Bn | 1.90 Bn | 1.57 Bn |
| 7 | Western Digital | 164.06 Bn | 152.19 Bn | 2.03 Bn | 1.51 Bn |
| 8 | Sony | 144.83 Bn | 95.22 Bn | 6.53 Bn | 8.56 Bn |
| 9 | Lumentum Holdings | 86.05 Bn | 77.87 Bn | 477.30 Mn | 691.60 Mn |
| 10 | Hewlett Packard Enterprise | 84.85 Bn | 62.73 Bn | 4.93 Bn | 11.82 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 11.82 Bn |
| Apr 30, 2026 | 9.03 Bn |
| Jan 31, 2026 | 6.91 Bn |
| Oct 31, 2025 | 6.35 Bn |
| Jul 31, 2025 | 7.16 Bn |
| Apr 30, 2025 | 8.10 Bn |
| Jan 31, 2025 | 8.58 Bn |
| Oct 31, 2024 | 7.81 Bn |
| Jul 31, 2024 | 7.68 Bn |
| Apr 30, 2024 | 7.33 Bn |
| Jan 31, 2024 | 6.05 Bn |
| Oct 31, 2023 | 4.61 Bn |
| Jul 31, 2023 | 4.54 Bn |
| Apr 30, 2023 | 4.32 Bn |
| Jan 31, 2023 | 4.64 Bn |
| Oct 31, 2022 | 5.16 Bn |
| Jul 31, 2022 | 5.55 Bn |
| Apr 30, 2022 | 5.32 Bn |
| Jan 31, 2022 | 5.32 Bn |
| Oct 31, 2021 | 4.51 Bn |
Hewlett Packard Enterprise Inventory 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=inventory&ticker=HPE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "HPE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=inventory&ticker=HPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();