Penguin Solutions (PENG) EBITDA (2016 - 2026)
Penguin Solutions' EBITDA was $82.6 million in fiscal Q4 2026 (quarter ended Aug 28, 2026), up 213.7% from $26.33 million a year earlier and up 29.6% from the prior quarter.
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Analysis
Penguin Solutions (PENG) EBITDA (2016 - 2026) Analysis & Trends
For FY2026 (ended Aug 28, 2026), EBITDA at Penguin Solutions came in at $218.5 million, up 85.4% from FY2025.
- EBITDA has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 50.8% (FY2021 to FY2026).
- In earlier fiscal years, EBITDA was $117.84 million in FY2025 (+34.3%), $87.74 million in FY2024 (+3.9%), $84.44 million in FY2023 (-32.0%) and $124.1 million in FY2022 (+342.8%).
- The fiscal Q4 2026 figure marks the highest quarterly EBITDA in data going back to fiscal Q3 2016.
- Compared with a year earlier, EBITDA has increased for three straight quarters, with growth averaging 71.7% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was fiscal Q4 2026 (growth of 213.7%); the worst was fiscal Q3 2023 (a decline of 62.4%).
- Per Business Quant data, PENG's EBITDA in the three fiscal quarters before Q4 2026 was $63.75 million (Q3 2026), $39.1 million (Q2 2026) and $33.06 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,063.91 Bn | 4,811.40 Bn | 54.77 Bn | 39.02 Bn |
| 2 | Cisco Systems | 442.99 Bn | 378.92 Bn | 11.06 Bn | 4.90 Bn |
| 3 | Dell Technologies | 325.34 Bn | 281.09 Bn | 9.83 Bn | 6.14 Bn |
| 4 | Arista Networks | 237.01 Bn | 190.47 Bn | 1.91 Bn | 1.40 Bn |
| 5 | Sandisk | 191.78 Bn | 180.30 Bn | 7.58 Bn | 7.08 Bn |
| 6 | Sony | 152.81 Bn | 90.07 Bn | 6.53 Bn | 4.56 Bn |
| 7 | Seagate Technology Holdings | 147.44 Bn | 142.43 Bn | 1.90 Bn | 1.63 Bn |
| 8 | Western Digital | 139.51 Bn | 129.34 Bn | 2.53 Bn | 2.15 Bn |
| 9 | Hewlett Packard Enterprise | 81.40 Bn | 59.28 Bn | 4.93 Bn | 2.26 Bn |
| 10 | Penguin Solutions | 3.12 Bn | 1.08 Bn | 155.90 Mn | 82.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 28, 2026 | 82.60 Mn |
| May 29, 2026 | 63.75 Mn |
| Feb 27, 2026 | 39.10 Mn |
| Nov 28, 2025 | 33.06 Mn |
| Aug 29, 2025 | 26.33 Mn |
| May 30, 2025 | 24.77 Mn |
| Feb 28, 2025 | 33.48 Mn |
| Nov 29, 2024 | 33.27 Mn |
| Aug 30, 2024 | 25.07 Mn |
| May 31, 2024 | 27.85 Mn |
| Mar 1, 2024 | 14.81 Mn |
| Dec 1, 2023 | 20.00 Mn |
| Aug 25, 2023 | 18.20 Mn |
| May 26, 2023 | 17.11 Mn |
| Feb 24, 2023 | 16.17 Mn |
| Nov 25, 2022 | 32.97 Mn |
| Aug 26, 2022 | 24.05 Mn |
| May 27, 2022 | 45.48 Mn |
| Feb 25, 2022 | 20.07 Mn |
| Nov 26, 2021 | 34.50 Mn |
API Access
Penguin Solutions EBITDA 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=ebitda&ticker=PENG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=PENG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();