Penguin Solutions (PENG) Receivables - Net (2016 - 2026)
Penguin Solutions (PENG) posted Receivables - Net of $796.26 million for fiscal Q4 2026 (quarter ended Aug 28, 2026), up 158.6% from $307.9 million a year earlier and up 13.1% from the prior quarter.
Penguin Solutions (PENG) Receivables - Net (2016 - 2026) Analysis & Trends
At the end of FY2026 (ended Aug 28, 2026), Penguin Solutions' Receivables - Net came in at $2.34 billion, up 161.9% from FY2025.
- Annual Receivables - Net shows a five-year compound annual growth rate of 49.5% (FY2021 to FY2026).
- In prior fiscal years, Penguin Solutions' Receivables - Net was $893.72 million in FY2025 (+72.3%), $518.69 million in FY2024 (-32.3%), $765.8 million in FY2023 (-52.2%) and $1.6 billion in FY2022 (+411.0%).
- The fiscal Q4 2026 figure stands as the highest quarterly Receivables - Net since fiscal Q4 2022.
- On a year-over-year basis, Receivables - Net has increased in each of the last four quarters, with growth averaging 75.7% over the last seven quarters.
- The strongest year-over-year quarter for Receivables - Net in the past five years was fiscal Q4 2022, with growth of 411.0%; the weakest was fiscal Q4 2023, with a decline of 52.2%.
- According to Business Quant data, Receivables - Net for the three prior fiscal quarters was $704.27 million (Q3 2026), $370.61 million (Q2 2026) and $341.97 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 5,087.87 Bn | 4,835.36 Bn | 54.77 Bn |
| 2 | Cisco Systems | 440.38 Bn | 376.31 Bn | 11.06 Bn |
| 3 | Dell Technologies | 323.75 Bn | 279.51 Bn | 9.83 Bn |
| 4 | Arista Networks | 236.06 Bn | 189.52 Bn | 1.91 Bn |
| 5 | Sandisk | 192.10 Bn | 180.62 Bn | 7.58 Bn |
| 6 | Sony | 153.25 Bn | 90.51 Bn | 6.53 Bn |
| 7 | Seagate Technology Holdings | 146.83 Bn | 141.82 Bn | 1.90 Bn |
| 8 | Western Digital | 139.55 Bn | 129.38 Bn | 2.53 Bn |
| 9 | Hewlett Packard Enterprise | 81.28 Bn | 59.16 Bn | 4.93 Bn |
| 10 | Penguin Solutions | 3.13 Bn | 1.09 Bn | 155.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 28, 2026 | 796.26 Mn |
| May 29, 2026 | 704.27 Mn |
| Feb 27, 2026 | 370.61 Mn |
| Nov 28, 2025 | 341.97 Mn |
| Aug 29, 2025 | 307.90 Mn |
| May 30, 2025 | 292.50 Mn |
| Feb 28, 2025 | 330.38 Mn |
| Nov 29, 2024 | 275.63 Mn |
| May 31, 2024 | 211.84 Mn |
| Mar 1, 2024 | 169.72 Mn |
| Dec 1, 2023 | 170.59 Mn |
| Aug 25, 2023 | 765.80 Mn |
| May 26, 2023 | 243.57 Mn |
| Feb 24, 2023 | 229.47 Mn |
| Nov 25, 2022 | 306.32 Mn |
| Aug 26, 2022 | 1.60 Bn |
| May 27, 2022 | 357.46 Mn |
| Feb 25, 2022 | 385.93 Mn |
| Nov 26, 2021 | 344.11 Mn |
| Aug 27, 2021 | 313.39 Mn |
Penguin Solutions Receivables - Net 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=receivables-net&ticker=PENG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=PENG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();