Hp (HPQ) EBT (QoQ) (2009 - 2026)
Analysis
Hp (HPQ) EBT (QoQ) (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Hp | 31.10 Bn | 26.93 Bn | 2.95 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 61.87% |
| Apr 30, 2026 | -26.53% |
| Jan 31, 2026 | -19.54% |
| Oct 31, 2025 | 33.65% |
| Jul 31, 2025 | 23.32% |
| Apr 30, 2025 | -28.13% |
| Jan 31, 2025 | -18.33% |
| Oct 31, 2024 | 4.23% |
| Jul 31, 2024 | 3.76% |
| Apr 30, 2024 | 0.50% |
| Jan 31, 2024 | -6.92% |
| Oct 31, 2023 | -8.97% |
| Jul 31, 2023 | 59.45% |
| Apr 30, 2023 | 4.45% |
| Jan 31, 2023 | -13.14% |
| Oct 31, 2022 | -45.45% |
| Jul 31, 2022 | -2.47% |
| Apr 30, 2022 | -4.63% |
| Jan 31, 2022 | -64.68% |
| Oct 31, 2021 | 172.25% |
API Access
Hp EBT (QoQ) 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=ebt-qoq&ticker=HPQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt-qoq", "ticker": "HPQ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ebt-qoq&ticker=HPQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();