Penguin Solutions (PENG) Selling, General & Administrative (2016 - 2026)
Penguin Solutions' Selling, General & Administrative was $59.93 million in fiscal Q4 2026 (quarter ended Aug 28, 2026), up 2.3% from $58.6 million a year earlier and up 0.9% from the prior quarter.
Penguin Solutions (PENG) Selling, General & Administrative (2016 - 2026) Analysis & Trends
For FY2026 (ended Aug 28, 2026), Selling, General & Administrative at Penguin Solutions came in at $220.41 million, down 7.5% from FY2025.
- Selling, General & Administrative shows a five-year compound annual growth rate of 6.9% (FY2021 to FY2026).
- In earlier fiscal years, Selling, General & Administrative was $238.18 million in FY2025 (+1.8%), $233.88 million in FY2024 (-10.3%), $260.72 million in FY2023 (+27.3%) and $204.84 million in FY2022 (+29.5%).
- The fiscal Q4 2026 figure marks the highest quarterly Selling, General & Administrative since fiscal Q1 2025.
- Compared with a year earlier, Selling, General & Administrative was higher in four of the last eight quarters, with an average decline of 2.7%.
- The best year-over-year quarter for Selling, General & Administrative over five years was fiscal Q2 2022 (growth of 67.7%); the worst was fiscal Q2 2026 (a decline of 19.1%).
- Per Business Quant data, PENG's Selling, General & Administrative in the three fiscal quarters before Q4 2026 was $59.4 million (Q3 2026), $47.99 million (Q2 2026) and $53.09 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,020.54 Bn | 4,766.00 Bn | 54.82 Bn | 7.46 Bn |
| 2 | Cisco Systems | 371.11 Bn | 307.04 Bn | 11.06 Bn | 679.00 Mn |
| 3 | Arista Networks | 215.34 Bn | 164.54 Bn | 2.33 Bn | 39.80 Mn |
| 4 | Dell Technologies | 212.13 Bn | 167.88 Bn | 9.83 Bn | 3.34 Bn |
| 5 | Sony | 161.14 Bn | 95.68 Bn | 7.96 Bn | 3.95 Bn |
| 6 | Sandisk | 122.92 Bn | 107.75 Bn | 9.38 Bn | 214.00 Mn |
| 7 | Seagate Technology Holdings | 105.29 Bn | 100.14 Bn | 2.43 Bn | 159.00 Mn |
| 8 | Western Digital | 96.46 Bn | 86.29 Bn | 2.53 Bn | 162.00 Mn |
| 9 | Hewlett Packard Enterprise | 59.75 Bn | 37.63 Bn | 4.93 Bn | 1.96 Bn |
| 10 | Penguin Solutions | 2.21 Bn | 171.03 Mn | 155.90 Mn | 59.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 28, 2026 | 59.93 Mn |
| May 29, 2026 | 59.40 Mn |
| Feb 27, 2026 | 47.99 Mn |
| Nov 28, 2025 | 53.09 Mn |
| Aug 29, 2025 | 58.60 Mn |
| May 30, 2025 | 59.72 Mn |
| Feb 28, 2025 | 59.32 Mn |
| Nov 29, 2024 | 60.54 Mn |
| Aug 30, 2024 | 58.03 Mn |
| May 31, 2024 | 57.25 Mn |
| Mar 1, 2024 | 61.39 Mn |
| Dec 1, 2023 | 57.22 Mn |
| Aug 25, 2023 | 65.03 Mn |
| May 26, 2023 | 67.91 Mn |
| Feb 24, 2023 | 60.07 Mn |
| Nov 25, 2022 | 67.71 Mn |
| Aug 26, 2022 | 40.69 Mn |
| May 27, 2022 | 58.48 Mn |
| Feb 25, 2022 | 53.11 Mn |
| Nov 26, 2021 | 52.55 Mn |
Penguin Solutions 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=PENG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "PENG", "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=PENG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();