Hp (HPQ) Cash & Equivalents (QoQ) (2009 - 2026)
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Analysis
Hp (HPQ) Cash & Equivalents (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 | 12.58% |
| Apr 30, 2026 | 17.41% |
| Jan 31, 2026 | -14.87% |
| Oct 31, 2025 | 28.91% |
| Jul 31, 2025 | 5.27% |
| Apr 30, 2025 | -5.67% |
| Jan 31, 2025 | -11.04% |
| Oct 31, 2024 | 13.03% |
| Jul 31, 2024 | 14.34% |
| Apr 30, 2024 | 4.14% |
| Jan 31, 2024 | -25.22% |
| Oct 31, 2023 | 88.13% |
| Jul 31, 2023 | -11.44% |
| Apr 30, 2023 | 9.67% |
| Jan 31, 2023 | -43.75% |
| Oct 31, 2022 | -41.61% |
| Jul 31, 2022 | 20.30% |
| Apr 30, 2022 | 31.91% |
| Jan 31, 2022 | -21.05% |
| Oct 31, 2021 | 25.01% |
API Access
Hp Cash & Equivalents (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=cash-and-equivalents-qoq&ticker=HPQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents-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=cash-and-equivalents-qoq&ticker=HPQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();