Hp (HPQ) Selling, General & Administrative (2009 - 2026)
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Analysis
Hp (HPQ) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Hp | 31.10 Bn | 26.93 Bn | 2.95 Bn | 1.54 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.54 Bn |
| Apr 30, 2026 | 1.51 Bn |
| Jan 31, 2026 | 1.50 Bn |
| Oct 31, 2025 | 1.43 Bn |
| Jul 31, 2025 | 1.45 Bn |
| Apr 30, 2025 | 1.48 Bn |
| Jan 31, 2025 | 1.46 Bn |
| Oct 31, 2024 | 1.41 Bn |
| Jul 31, 2024 | 1.40 Bn |
| Apr 30, 2024 | 1.46 Bn |
| Jan 31, 2024 | 1.38 Bn |
| Oct 31, 2023 | 1.33 Bn |
| Jul 31, 2023 | 1.30 Bn |
| Apr 30, 2023 | 1.40 Bn |
| Jan 31, 2023 | 1.33 Bn |
| Oct 31, 2022 | 1.19 Bn |
| Jul 31, 2022 | 1.14 Bn |
| Apr 30, 2022 | 1.46 Bn |
| Jan 31, 2022 | 1.47 Bn |
| Oct 31, 2021 | 1.46 Bn |
API Access
Hp Selling, General & Administrative 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=selling-general-and-administrative&ticker=HPQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=HPQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();