Penguin Solutions (PENG) Operating Expenses (2016 - 2026)
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Analysis
Penguin Solutions (PENG) Operating Expenses (2016 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,087.87 Bn | 4,835.36 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 440.38 Bn | 376.31 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 323.75 Bn | 279.51 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 236.06 Bn | 189.52 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 192.10 Bn | 180.62 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Sony | 153.25 Bn | 90.51 Bn | 6.53 Bn | 14.83 Bn |
| 7 | Seagate Technology Holdings | 146.83 Bn | 141.82 Bn | 1.90 Bn | 2.07 Bn |
| 8 | Western Digital | 139.55 Bn | 129.38 Bn | 2.53 Bn | 488.00 Mn |
| 9 | Hewlett Packard Enterprise | 81.28 Bn | 59.16 Bn | 4.93 Bn | 10.82 Bn |
| 10 | Penguin Solutions | 3.13 Bn | 1.09 Bn | 155.90 Mn | 86.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 28, 2026 | 86.44 Mn |
| May 29, 2026 | 82.35 Mn |
| Feb 27, 2026 | 68.01 Mn |
| Nov 28, 2025 | 76.53 Mn |
| Aug 29, 2025 | 84.28 Mn |
| May 30, 2025 | 85.24 Mn |
| Feb 28, 2025 | 86.16 Mn |
| Nov 29, 2024 | 80.46 Mn |
| Aug 30, 2024 | 78.30 Mn |
| May 31, 2024 | 77.40 Mn |
| Mar 1, 2024 | 85.25 Mn |
| Dec 1, 2023 | 81.55 Mn |
| Aug 25, 2023 | 93.22 Mn |
| May 26, 2023 | 102.87 Mn |
| Feb 24, 2023 | 113.09 Mn |
| Nov 25, 2022 | 97.25 Mn |
| Aug 26, 2022 | 61.40 Mn |
| May 27, 2022 | 79.15 Mn |
| Feb 25, 2022 | 95.91 Mn |
| Nov 26, 2021 | 87.41 Mn |
API Access
Penguin Solutions Operating Expenses 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=operating-expenses&ticker=PENG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=PENG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();