Penguin Solutions (PENG) Receivables - Net (2016 - 2026)
Penguin Solutions (PENG) posted Receivables - Net of $704.27 million for fiscal Q3 2026 (quarter ended May 29, 2026), up 140.8% from $292.5 million a year earlier and up 90.0% from the prior quarter.
Penguin Solutions (PENG) Receivables - Net (2016 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 29, 2025), Penguin Solutions' Receivables - Net came in at $893.72 million, up 72.3% from FY2024.
- Annual Receivables - Net shows a five-year compound annual growth rate of 32.9% (FY2020 to FY2025).
- In prior fiscal years, Penguin Solutions' Receivables - Net was $518.69 million in FY2024 (-32.3%), $765.8 million in FY2023 (-52.2%), $1.6 billion in FY2022 (+411.0%) and $313.39 million in FY2021 (+45.1%).
- The fiscal Q3 2026 figure stands as the highest quarterly Receivables - Net since fiscal Q4 2023.
- On a year-over-year basis, Receivables - Net has increased in each of the last seven quarters, with growth averaging 40.8% over the last eight 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 2024, with a decline of 67.1%.
- According to Business Quant data, Receivables - Net for the three prior fiscal quarters was $370.61 million (Q2 2026), $341.97 million (Q1 2026) and $307.9 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,825.63 Bn | 4,573.12 Bn | 54.77 Bn |
| 2 | Cisco Systems | 429.17 Bn | 365.10 Bn | 11.06 Bn |
| 3 | Dell Technologies | 346.69 Bn | 302.44 Bn | 9.83 Bn |
| 4 | Sandisk | 261.00 Bn | 249.52 Bn | 7.58 Bn |
| 5 | Arista Networks | 257.88 Bn | 211.33 Bn | 1.91 Bn |
| 6 | Seagate Technology Holdings | 214.45 Bn | 209.44 Bn | 1.90 Bn |
| 7 | Western Digital | 166.98 Bn | 155.11 Bn | 2.03 Bn |
| 8 | Sony | 144.46 Bn | 94.85 Bn | 6.53 Bn |
| 9 | Lumentum Holdings | 92.66 Bn | 84.47 Bn | 477.30 Mn |
| 10 | Penguin Solutions | 2.82 Bn | 1.18 Bn | 133.21 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Aug 30, 2024 | 251.74 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();