Hp (HPQ) EBIT (QoQ) (2009 - 2026)
Powered by 
Analysis
Hp (HPQ) EBIT (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 | 45.75% |
| Apr 30, 2026 | -19.37% |
| Jan 31, 2026 | -20.86% |
| Oct 31, 2025 | 33.94% |
| Jul 31, 2025 | 9.48% |
| Apr 30, 2025 | -22.60% |
| Jan 31, 2025 | -14.73% |
| Oct 31, 2024 | 5.43% |
| Jul 31, 2024 | -1.26% |
| Apr 30, 2024 | 1.82% |
| Jan 31, 2024 | -7.79% |
| Oct 31, 2023 | 6.51% |
| Jul 31, 2023 | 27.44% |
| Apr 30, 2023 | 0.54% |
| Jan 31, 2023 | 0.27% |
| Oct 31, 2022 | -41.00% |
| Jul 31, 2022 | -0.08% |
| Apr 30, 2022 | -3.68% |
| Jan 31, 2022 | 0.77% |
| Oct 31, 2021 | -6.23% |
API Access
Hp EBIT (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=ebit-qoq&ticker=HPQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit-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=ebit-qoq&ticker=HPQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();