Penguin Solutions (PENG) Depreciation and Depletion (2016 - 2026)
Penguin Solutions (PENG) reported Depreciation and Depletion of $4.8 million for fiscal Q4 2026 (quarter ended Aug 28, 2026), down 7.7% from $5.2 million a year earlier and down 2.0% from the prior quarter.
Penguin Solutions (PENG) Depreciation and Depletion (2016 - 2026) Analysis & Trends
For FY2026 (ended Aug 28, 2026), Penguin Solutions posted Depreciation and Depletion of $19.8 million, down 3.9% from FY2025.
- Depreciation and Depletion has declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 6.1% (FY2021 to FY2026).
- By fiscal year, Depreciation and Depletion came in at $20.6 million in FY2025 (-19.9%), $25.72 million in FY2024 (-2.9%), $26.5 million in FY2023 (+15.7%) and $22.9 million in FY2022 (+55.8%).
- The fiscal Q4 2026 figure ranks as the lowest quarterly Depreciation and Depletion since fiscal Q4 2022.
- Year over year, Depreciation and Depletion gained in two of the last eight quarters, with an average decline of 10.8%.
- The high point for year-over-year Depreciation and Depletion in five years was fiscal Q1 2022 (growth of 90.0%); the low point was fiscal Q2 2023 (a decline of 39.2%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $4.9 million (Q3 2026), $5.02 million (Q2 2026) and $5.1 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (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 | 4.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 28, 2026 | 4.80 Mn |
| May 29, 2026 | 4.90 Mn |
| Feb 27, 2026 | 5.02 Mn |
| Nov 28, 2025 | 5.10 Mn |
| Aug 29, 2025 | 5.20 Mn |
| May 30, 2025 | 5.05 Mn |
| Feb 28, 2025 | 5.01 Mn |
| Nov 29, 2024 | 5.02 Mn |
| Aug 30, 2024 | 5.42 Mn |
| May 31, 2024 | 5.60 Mn |
| Mar 1, 2024 | 7.20 Mn |
| Dec 1, 2023 | 7.50 Mn |
| Aug 25, 2023 | 7.30 Mn |
| May 26, 2023 | 6.80 Mn |
| Feb 24, 2023 | 6.20 Mn |
| Nov 25, 2022 | 6.10 Mn |
| Aug 26, 2022 | -7.40 Mn |
| May 27, 2022 | 10.60 Mn |
| Feb 25, 2022 | 10.20 Mn |
| Nov 26, 2021 | 9.50 Mn |
Penguin Solutions Depreciation and Depletion 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=depreciation-and-depletion&ticker=PENG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=PENG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();