Hp (HPQ) Selling, General & Administrative (2009 - 2026)
Hp (HPQ) recorded Selling, General & Administrative of $1.54 billion in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 5.9% from $1.45 billion a year earlier and up 1.5% from the prior quarter.
Hp (HPQ) Selling, General & Administrative (2009 - 2026) Analysis & Trends
On a TTM basis, Hp's Selling, General & Administrative came in at $5.99 billion as of Jul 31, 2026, up 3.2% year-over-year; for FY2025 (ended Oct 31, 2025), it was $5.82 billion, up 2.9% from FY2024.
- Annual Selling, General & Administrative has increased for three straight fiscal years, with a five-year compound annual growth rate of 3.5% (FY2020 to FY2025).
- Across earlier fiscal years, Selling, General & Administrative came in at $5.66 billion in FY2024 (+5.6%), $5.36 billion in FY2023 (+1.8%), $5.26 billion in FY2022 (-8.1%) and $5.73 billion in FY2021 (+16.9%).
- The fiscal Q3 2026 figure is the highest quarterly Selling, General & Administrative since fiscal Q2 2015.
- On a year-over-year basis, Selling, General & Administrative has increased for 13 consecutive quarters, with growth averaging 3.6% over the last eight quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 17.8% in fiscal Q4 2021, against a decline of 18.8% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.51 billion (Q2 2026), $1.5 billion (Q1 2026) and $1.43 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,028.22 Bn | 4,775.71 Bn | 54.77 Bn | 7.35 Bn |
| 2 | Cisco Systems | 420.88 Bn | 356.80 Bn | 11.06 Bn | 679.00 Mn |
| 3 | Dell Technologies | 293.18 Bn | 248.94 Bn | 9.83 Bn | 3.34 Bn |
| 4 | Arista Networks | 230.46 Bn | 183.91 Bn | 1.91 Bn | 33.80 Mn |
| 5 | Sandisk | 201.65 Bn | 190.18 Bn | 7.58 Bn | 197.00 Mn |
| 6 | Sony | 148.11 Bn | 85.38 Bn | 6.53 Bn | 3.57 Bn |
| 7 | Seagate Technology Holdings | 144.57 Bn | 139.56 Bn | 1.90 Bn | 147.00 Mn |
| 8 | Western Digital | 121.56 Bn | 109.69 Bn | 2.03 Bn | 138.00 Mn |
| 9 | Hewlett Packard Enterprise | 74.47 Bn | 52.35 Bn | 4.93 Bn | 1.96 Bn |
| 10 | Hp | 27.78 Bn | 13.05 Bn | 2.95 Bn | 1.54 Bn |
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 |
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_KEY
import 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();