Penguin Solutions (PENG) Cash & Equivalents (2016 - 2026)
Penguin Solutions' Cash & Equivalents came in at $647.21 million for fiscal Q4 2026 (quarter ended Aug 28, 2026), up 42.6% from $453.75 million a year earlier and up 47.0% from the prior quarter.
Penguin Solutions (PENG) Cash & Equivalents (2016 - 2026) Analysis & Trends
Going back to fiscal Q3 2016, Penguin Solutions' Cash & Equivalents data covers 42 quarters.
- Cash & Equivalents has increased in each of the last nine fiscal years, with a five-year compound annual growth rate of 23.8% (FY2021 to FY2026).
- Going back by fiscal year, Cash & Equivalents was $453.75 million in FY2025 (+18.4%), $383.15 million in FY2024 (+4.8%), $365.56 million in FY2023 (+16.7%) and $313.33 million in FY2022 (+40.5%).
- The fiscal Q4 2026 figure represents the highest quarterly Cash & Equivalents since fiscal Q3 2025.
- Year-over-year, Cash & Equivalents increased in five of the last eight quarters, with growth averaging 11.7%.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q2 2022 (growth of 161.6%), and the weakest in fiscal Q3 2026 (a decline of 38.0%).
- Business Quant data shows PENG's Cash & Equivalents at $440.3 million (Q3 2026), $489.17 million (Q2 2026) and $461.45 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,020.54 Bn | 4,766.00 Bn | 54.82 Bn | 36.31 Bn |
| 2 | Cisco Systems | 371.11 Bn | 307.04 Bn | 11.06 Bn | 7.22 Bn |
| 3 | Arista Networks | 215.34 Bn | 164.54 Bn | 2.33 Bn | 2.29 Bn |
| 4 | Dell Technologies | 212.13 Bn | 167.88 Bn | 9.83 Bn | 11.57 Bn |
| 5 | Sony | 161.14 Bn | 95.68 Bn | 7.96 Bn | 12.77 Bn |
| 6 | Sandisk | 122.92 Bn | 107.75 Bn | 9.38 Bn | 5.14 Bn |
| 7 | Seagate Technology Holdings | 105.29 Bn | 100.14 Bn | 2.43 Bn | 1.26 Bn |
| 8 | Western Digital | 96.46 Bn | 86.29 Bn | 2.53 Bn | 1.31 Bn |
| 9 | Hewlett Packard Enterprise | 59.75 Bn | 37.63 Bn | 4.93 Bn | 6.22 Bn |
| 10 | Penguin Solutions | 2.21 Bn | 171.03 Mn | 155.90 Mn | 647.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 28, 2026 | 647.21 Mn |
| May 29, 2026 | 440.30 Mn |
| Feb 27, 2026 | 489.17 Mn |
| Nov 28, 2025 | 461.45 Mn |
| Aug 29, 2025 | 453.75 Mn |
| May 30, 2025 | 709.87 Mn |
| Feb 28, 2025 | 621.68 Mn |
| Nov 29, 2024 | 370.30 Mn |
| Aug 30, 2024 | 383.15 Mn |
| May 31, 2024 | 453.79 Mn |
| Mar 1, 2024 | 442.33 Mn |
| Dec 1, 2023 | 529.06 Mn |
| Aug 25, 2023 | 365.56 Mn |
| May 26, 2023 | 401.28 Mn |
| Feb 24, 2023 | 375.85 Mn |
| Nov 25, 2022 | 324.82 Mn |
| Aug 26, 2022 | 313.33 Mn |
| May 27, 2022 | 387.33 Mn |
| Feb 25, 2022 | 365.77 Mn |
| Nov 26, 2021 | 233.05 Mn |
Penguin Solutions Cash & Equivalents 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=cash-and-equivalents&ticker=PENG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=PENG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();