Penguin Solutions (PENG) Other Accumulated Expenses (2016 - 2026)
Penguin Solutions (PENG) reported Other Accumulated Expenses of $128.77 million for fiscal Q4 2026 (quarter ended Aug 28, 2026), up 110.1% from $61.3 million a year earlier and up 64.5% from the prior quarter.
Penguin Solutions (PENG) Other Accumulated Expenses (2016 - 2026) Analysis & Trends
Dating back to fiscal Q4 2016, Penguin Solutions' Other Accumulated Expenses record includes 39 quarters.
- Other Accumulated Expenses has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 11.6% (FY2021 to FY2026).
- By fiscal year, Other Accumulated Expenses came in at $61.3 million in FY2025 (+37.6%), $44.55 million in FY2024 (+36.1%), $32.73 million in FY2023 (-43.5%) and $57.88 million in FY2022 (-22.1%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Other Accumulated Expenses since fiscal Q2 2023.
- Year over year, Other Accumulated Expenses has now increased in each of the last three quarters, with growth averaging 54.5% over the last eight quarters.
- The high point for year-over-year Other Accumulated Expenses in five years was fiscal Q1 2025 (growth of 214.3%); the low point was fiscal Q1 2024 (a decline of 70.7%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $78.29 million (Q3 2026), $54.57 million (Q2 2026) and $46.96 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 5,020.54 Bn | 4,766.00 Bn | 54.82 Bn |
| 2 | Cisco Systems | 371.11 Bn | 307.04 Bn | 11.06 Bn |
| 3 | Arista Networks | 215.34 Bn | 164.54 Bn | 2.33 Bn |
| 4 | Dell Technologies | 212.13 Bn | 167.88 Bn | 9.83 Bn |
| 5 | Sony | 161.14 Bn | 95.68 Bn | 7.96 Bn |
| 6 | Sandisk | 122.92 Bn | 107.75 Bn | 9.38 Bn |
| 7 | Seagate Technology Holdings | 105.29 Bn | 100.14 Bn | 2.43 Bn |
| 8 | Western Digital | 96.46 Bn | 86.29 Bn | 2.53 Bn |
| 9 | Hewlett Packard Enterprise | 59.75 Bn | 37.63 Bn | 4.93 Bn |
| 10 | Penguin Solutions | 2.21 Bn | 171.03 Mn | 155.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 28, 2026 | 128.77 Mn |
| May 29, 2026 | 78.29 Mn |
| Feb 27, 2026 | 54.57 Mn |
| Nov 28, 2025 | 46.96 Mn |
| Aug 29, 2025 | 61.30 Mn |
| May 30, 2025 | 44.88 Mn |
| Feb 28, 2025 | 54.08 Mn |
| Nov 29, 2024 | 100.92 Mn |
| Aug 30, 2024 | 44.55 Mn |
| May 31, 2024 | 31.78 Mn |
| Mar 1, 2024 | 48.71 Mn |
| Dec 1, 2023 | 32.12 Mn |
| Aug 25, 2023 | 32.73 Mn |
| May 26, 2023 | 96.23 Mn |
| Feb 24, 2023 | 131.12 Mn |
| Nov 25, 2022 | 109.72 Mn |
| Aug 26, 2022 | 57.88 Mn |
| May 27, 2022 | 68.09 Mn |
| Feb 25, 2022 | 86.40 Mn |
| Nov 26, 2021 | 72.43 Mn |
Penguin Solutions Other Accumulated 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=other-accumulated-expenses&ticker=PENG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=PENG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();