Hewlett Packard Enterprise (HPE) Receivables (2014 - 2026)
Hewlett Packard Enterprise's (HPE) quarterly Receivables came in at $6.6 billion in Q3 2026, up 8.15% year-over-year from $6.1 billion in Q3 2025, and down 1.68% quarter-over-quarter from $6.7 billion in Q2 2026.
Hewlett Packard Enterprise (HPE) Receivables (2014 - 2026) Analysis & Trends
Hewlett Packard Enterprise has disclosed Receivables across 13 years of filings, most recently posting $6.6 billion for Q3 2026.
- In Q3 2026, Receivables rose 8.15% year-over-year to $6.6 billion; the TTM figure through Jul 2026 stood at $6.6 billion (up 8.15% YoY), while the FY2025 annual figure was $5.7 billion, up 46.77% from the prior year.
- Receivables came in at $6.6 billion for Q3 2026 at Hewlett Packard Enterprise, down from $6.7 billion in the prior quarter.
- In the past five years, Receivables ranged from a high of $6.7 billion in Q2 2026 to a low of $3.3 billion in Q2 2022.
- Average Receivables over 5 years is $4.5 billion, with a median of $4.1 billion recorded in 2024.
- Year-over-year, Receivables tumbled 69.47% in 2022 and soared 57.7% in 2026.
- Over 5 years, Receivables stood at $4.3 billion in 2022, then decreased by 13.83% to $3.7 billion in 2023, then grew by 3.44% to $3.9 billion in 2024, then jumped by 46.77% to $5.7 billion in 2025, then grew by 15.46% to $6.6 billion in 2026.
- Per Business Quant data, the three most recent Receivables figures were $6.6 billion in Q3 2026, $6.7 billion in Q2 2026, and $5.3 billion in Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,923.51 Bn | 4,861.11 Bn | 54.77 Bn | 58.91 Bn |
| 2 | Cisco Systems | 419.97 Bn | 404.45 Bn | 11.06 Bn | 9.40 Bn |
| 3 | Dell Technologies | 351.63 Bn | 340.06 Bn | 9.83 Bn | 22.92 Bn |
| 4 | Sandisk | 265.22 Bn | 260.46 Bn | 7.58 Bn | 63.41 Bn |
| 5 | Arista Networks | 256.62 Bn | 243.27 Bn | 1.91 Bn | 2.27 Bn |
| 6 | Seagate Technology Holdings | 209.52 Bn | 207.82 Bn | 1.90 Bn | 1.65 Bn |
| 7 | Western Digital | 171.00 Bn | 169.42 Bn | 2.03 Bn | 2.03 Bn |
| 8 | Sony | 142.68 Bn | 123.26 Bn | 6.53 Bn | - |
| 9 | Lumentum Holdings | 83.02 Bn | 80.28 Bn | 477.30 Mn | 531.40 Mn |
| 10 | Hewlett Packard Enterprise | 82.82 Bn | 76.61 Bn | 4.93 Bn | 6.57 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 6.57 Bn |
| Apr 30, 2026 | 6.68 Bn |
| Jan 31, 2026 | 5.31 Bn |
| Oct 31, 2025 | 5.69 Bn |
| Jul 31, 2025 | 6.07 Bn |
| Apr 30, 2025 | 4.23 Bn |
| Jan 31, 2025 | 3.76 Bn |
| Oct 31, 2024 | 3.87 Bn |
| Jul 31, 2024 | 4.17 Bn |
| Apr 30, 2024 | 4.14 Bn |
| Jan 31, 2024 | 4.06 Bn |
| Oct 31, 2023 | 3.75 Bn |
| Jul 31, 2023 | 3.75 Bn |
| Apr 30, 2023 | 4.00 Bn |
| Jan 31, 2023 | 4.49 Bn |
| Oct 31, 2022 | 4.35 Bn |
| Jul 31, 2022 | 3.61 Bn |
| Apr 30, 2022 | 3.34 Bn |
| Jan 31, 2022 | 3.63 Bn |
| Oct 31, 2021 | 4.05 Bn |
Hewlett Packard Enterprise Receivables 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=receivables&ticker=HPE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=HPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();