Hp (HPQ) Revenue (QoQ) (2009 - 2026)
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Analysis
Hp (HPQ) Revenue (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 | 8.81% |
| Apr 30, 2026 | -0.21% |
| Jan 31, 2026 | -1.37% |
| Oct 31, 2025 | 5.07% |
| Jul 31, 2025 | 5.39% |
| Apr 30, 2025 | -2.10% |
| Jan 31, 2025 | -3.92% |
| Oct 31, 2024 | 3.96% |
| Jul 31, 2024 | 5.62% |
| Apr 30, 2024 | -2.92% |
| Jan 31, 2024 | -4.57% |
| Oct 31, 2023 | 4.71% |
| Jul 31, 2023 | 2.24% |
| Apr 30, 2023 | -6.46% |
| Jan 31, 2023 | -6.61% |
| Oct 31, 2022 | 0.86% |
| Jul 31, 2022 | -11.09% |
| Apr 30, 2022 | -3.16% |
| Jan 31, 2022 | 2.19% |
| Oct 31, 2021 | 8.89% |
API Access
Hp Revenue (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=revenue-qoq&ticker=HPQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue-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=revenue-qoq&ticker=HPQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();