Penguin Solutions (PENG) Receivables (2016 - 2026)
Penguin Solutions (PENG) recorded Receivables of $796.26 million in fiscal Q4 2026 (quarter ended Aug 28, 2026), up 157.0% from $309.83 million a year earlier and up 13.1% from the prior quarter.
Penguin Solutions (PENG) Receivables (2016 - 2026) Analysis & Trends
At the end of FY2026 (ended Aug 28, 2026), Penguin Solutions reported Receivables of $2.34 billion, up 161.3% from FY2025.
- Annual Receivables has a five-year compound annual growth rate of 48.2% (FY2021 to FY2026).
- Across earlier fiscal years, Receivables came in at $895.64 million in FY2025 (+72.1%), $520.49 million in FY2024 (-32.0%), $765.8 million in FY2023 (-52.2%) and $1.6 billion in FY2022 (+389.4%).
- The fiscal Q4 2026 figure is the highest quarterly Receivables since fiscal Q4 2022.
- On a year-over-year basis, Receivables has increased for four consecutive quarters, with growth averaging 75.2% over the last seven quarters.
- Peak year-over-year performance for Receivables in the last five years was growth of 404.5% in fiscal Q4 2022, against a decline of 99.8% in fiscal Q4 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $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) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,041.12 Bn | 4,788.61 Bn | 54.77 Bn | 58.91 Bn |
| 2 | Cisco Systems | 436.07 Bn | 371.99 Bn | 11.06 Bn | 9.40 Bn |
| 3 | Dell Technologies | 301.57 Bn | 257.33 Bn | 9.83 Bn | 22.92 Bn |
| 4 | Arista Networks | 222.94 Bn | 176.40 Bn | 1.91 Bn | 2.27 Bn |
| 5 | Sandisk | 184.51 Bn | 173.03 Bn | 7.58 Bn | 63.41 Bn |
| 6 | Sony | 155.70 Bn | 92.96 Bn | 6.53 Bn | - |
| 7 | Seagate Technology Holdings | 140.90 Bn | 135.89 Bn | 1.90 Bn | 1.66 Bn |
| 8 | Western Digital | 130.38 Bn | 120.21 Bn | 2.53 Bn | 2.23 Bn |
| 9 | Hewlett Packard Enterprise | 78.30 Bn | 56.17 Bn | 4.93 Bn | 6.57 Bn |
| 10 | Penguin Solutions | 2.91 Bn | 875.82 Mn | 155.90 Mn | 796.26 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 | 309.83 Mn |
| May 30, 2025 | 292.50 Mn |
| Feb 28, 2025 | 330.38 Mn |
| Nov 29, 2024 | 275.63 Mn |
| Aug 30, 2024 | 1.80 Mn |
| May 31, 2024 | 211.84 Mn |
| Mar 1, 2024 | 169.72 Mn |
| Dec 1, 2023 | 172.98 Mn |
| Aug 25, 2023 | 765.80 Mn |
| May 26, 2023 | 244.34 Mn |
| Feb 24, 2023 | 230.77 Mn |
| Nov 25, 2022 | 307.19 Mn |
| Aug 26, 2022 | 1.60 Bn |
| May 27, 2022 | 371.51 Mn |
| Feb 25, 2022 | 399.98 Mn |
| Nov 26, 2021 | 344.26 Mn |
Penguin Solutions Receivables 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&ticker=PENG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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&ticker=PENG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();