Penguin Solutions (PENG) Finished Goods (2016 - 2021)
Penguin Solutions (PENG) posted Finished Goods of $93.2 million for fiscal Q1 2022 (quarter ended Nov 26, 2021), up 122.1% from $41.97 million a year earlier but down 13.0% from the prior quarter.
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Analysis
Penguin Solutions (PENG) Finished Goods (2016 - 2021) Analysis & Trends
At the end of FY2021 (ended Aug 27, 2021), Penguin Solutions' Finished Goods came in at $107.09 million, up 90.0% from FY2020.
- Annual Finished Goods shows a five-year compound annual growth rate of 18.7% (FY2016 to FY2021).
- In prior fiscal years, Penguin Solutions' Finished Goods was $56.38 million in FY2020 (+39.0%), $40.56 million in FY2019 (-49.6%), $80.43 million in FY2018 (+29.9%) and $61.92 million in FY2017 (+36.4%).
- Quarterly Finished Goods has run from a low of $40.56 million in fiscal Q4 2019 to a high of $107.09 million in fiscal Q4 2021 over five years.
- On a year-over-year basis, Finished Goods has increased in each of the last four quarters, with growth averaging 43.9% over the last eight quarters.
- The strongest year-over-year quarter for Finished Goods in the past five years was fiscal Q1 2022, with growth of 122.1%; the weakest was fiscal Q4 2019, with a decline of 49.6%.
- According to Business Quant data, Finished Goods for the three prior fiscal quarters was $107.09 million (Q4 2021), $107.09 million (Q3 2021) and $68.17 million (Q2 2021).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Nov 26, 2021 | 93.20 Mn |
| Aug 27, 2021 | 107.09 Mn |
| May 28, 2021 | 107.09 Mn |
| Feb 26, 2021 | 68.17 Mn |
| Nov 27, 2020 | 41.97 Mn |
| Aug 28, 2020 | 56.38 Mn |
| May 29, 2020 | 64.05 Mn |
| Feb 28, 2020 | 54.42 Mn |
| Nov 29, 2019 | 55.77 Mn |
| Aug 30, 2019 | 40.56 Mn |
| May 31, 2019 | 43.67 Mn |
| Mar 1, 2019 | 63.57 Mn |
| Nov 30, 2018 | 71.08 Mn |
| Aug 31, 2018 | 80.43 Mn |
| May 25, 2018 | 47.70 Mn |
| Feb 23, 2018 | 59.34 Mn |
| Nov 24, 2017 | 54.54 Mn |
| Aug 25, 2017 | 61.92 Mn |
| May 26, 2017 | 63.41 Mn |
| Aug 26, 2016 | 45.39 Mn |
API Access
Penguin Solutions Finished Goods 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=finished-goods&ticker=PENG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=PENG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();