Penguin Solutions (PENG) Inventory (2016 - 2026)
Penguin Solutions' Inventory was $748.79 million in fiscal Q4 2026 (quarter ended Aug 28, 2026), up 193.4% from $255.18 million a year earlier and up 50.3% from the prior quarter.
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Analysis
Penguin Solutions (PENG) Inventory (2016 - 2026) Analysis & Trends
From fiscal Q4 2016 onward, Penguin Solutions has reported Inventory for 39 quarters.
- Inventory shows a five-year compound annual growth rate of 15.5% (FY2021 to FY2026).
- In earlier fiscal years, Inventory was $255.18 million in FY2025 (+68.8%), $151.21 million in FY2024 (-13.6%), $174.98 million in FY2023 (-33.7%) and $263.77 million in FY2022 (-27.5%).
- The fiscal Q4 2026 figure marks the highest quarterly Inventory in data going back to fiscal Q4 2016.
- Compared with a year earlier, Inventory has increased for three straight quarters, with growth averaging 64.8% over the last eight quarters.
- The best year-over-year quarter for Inventory over five years was fiscal Q4 2026 (growth of 193.4%); the worst was fiscal Q1 2024 (a decline of 49.9%).
- Per Business Quant data, PENG's Inventory in the three fiscal quarters before Q4 2026 was $498.32 million (Q3 2026), $322.36 million (Q2 2026) and $213.21 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,063.91 Bn | 4,811.40 Bn | 54.77 Bn | 11.09 Bn |
| 2 | Cisco Systems | 442.99 Bn | 378.92 Bn | 11.06 Bn | 5.69 Bn |
| 3 | Dell Technologies | 325.34 Bn | 281.09 Bn | 9.83 Bn | 21.29 Bn |
| 4 | Arista Networks | 237.01 Bn | 190.47 Bn | 1.91 Bn | 2.54 Bn |
| 5 | Sandisk | 191.78 Bn | 180.30 Bn | 7.58 Bn | 2.70 Bn |
| 6 | Sony | 152.81 Bn | 90.07 Bn | 6.53 Bn | 8.43 Bn |
| 7 | Seagate Technology Holdings | 147.44 Bn | 142.43 Bn | 1.90 Bn | 1.57 Bn |
| 8 | Western Digital | 139.51 Bn | 129.34 Bn | 2.53 Bn | 1.78 Bn |
| 9 | Hewlett Packard Enterprise | 81.40 Bn | 59.28 Bn | 4.93 Bn | 11.82 Bn |
| 10 | Penguin Solutions | 3.12 Bn | 1.08 Bn | 155.90 Mn | 748.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 28, 2026 | 748.79 Mn |
| May 29, 2026 | 498.32 Mn |
| Feb 27, 2026 | 322.36 Mn |
| Nov 28, 2025 | 213.21 Mn |
| Aug 29, 2025 | 255.18 Mn |
| May 30, 2025 | 184.35 Mn |
| Feb 28, 2025 | 199.74 Mn |
| Nov 29, 2024 | 246.95 Mn |
| Aug 30, 2024 | 151.21 Mn |
| May 31, 2024 | 177.30 Mn |
| Mar 1, 2024 | 172.76 Mn |
| Dec 1, 2023 | 208.44 Mn |
| Aug 25, 2023 | 174.98 Mn |
| May 26, 2023 | 226.05 Mn |
| Feb 24, 2023 | 294.37 Mn |
| Nov 25, 2022 | 416.08 Mn |
| Aug 26, 2022 | 263.77 Mn |
| May 27, 2022 | 365.26 Mn |
| Feb 25, 2022 | 334.15 Mn |
| Nov 26, 2021 | 317.85 Mn |
API Access
Penguin Solutions Inventory 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=inventory&ticker=PENG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=PENG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();