Everpure (P) EBITDA (2014 - 2026)
Everpure (P) reported EBITDA of $104.73 million for fiscal Q2 2027 (quarter ended Aug 2, 2026), up 156.7% from $40.8 million a year earlier and up 74.2% from the prior quarter.
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Analysis
Everpure (P) EBITDA (2014 - 2026) Analysis & Trends
Over the twelve months ended Aug 2, 2026, Everpure's EBITDA came in at $384.11 million, up 89.8% year-over-year; for FY2026 (ended Feb 1, 2026), it was $262.63 million, up 23.9% from FY2025.
- By fiscal year, EBITDA came in at $211.91 million in FY2025 (+19.1%), $177.97 million in FY2024 (-3.2%), $183.95 million in FY2023 and -$15.25 million in FY2022.
- Five-year quarterly EBITDA spans a low of -$42.12 million in fiscal Q1 2024 and a high of $127.53 million in fiscal Q4 2026.
- Year over year, EBITDA gained in three of the last six quarters, with growth averaging 28.1%.
- The high point for year-over-year EBITDA in five years was fiscal Q3 2023 (growth of 916.7%); the low point was fiscal Q2 2024 (a decline of 37.3%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $60.14 million (Q1 2027), $127.53 million (Q4 2026) and $91.7 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,059.58 Bn | 4,807.07 Bn | 54.77 Bn | 39.02 Bn |
| 2 | Cisco Systems | 451.20 Bn | 387.12 Bn | 11.06 Bn | 4.90 Bn |
| 3 | Dell Technologies | 365.27 Bn | 321.03 Bn | 9.83 Bn | 6.14 Bn |
| 4 | Arista Networks | 251.01 Bn | 204.46 Bn | 1.91 Bn | 1.40 Bn |
| 5 | Sandisk | 211.16 Bn | 199.69 Bn | 7.58 Bn | 7.08 Bn |
| 6 | Seagate Technology Holdings | 159.53 Bn | 154.52 Bn | 1.90 Bn | 1.63 Bn |
| 7 | Sony | 145.60 Bn | 82.87 Bn | 6.53 Bn | 4.56 Bn |
| 8 | Western Digital | 128.87 Bn | 117.00 Bn | 2.03 Bn | 1.66 Bn |
| 9 | Hewlett Packard Enterprise | 91.88 Bn | 69.75 Bn | 4.93 Bn | 2.26 Bn |
| 10 | Everpure | 50.56 Bn | 44.97 Bn | 811.39 Mn | 104.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 104.73 Mn |
| May 3, 2026 | 60.14 Mn |
| Feb 1, 2026 | 127.53 Mn |
| Nov 2, 2025 | 91.70 Mn |
| Aug 3, 2025 | 40.80 Mn |
| May 4, 2025 | 2.60 Mn |
| Feb 2, 2025 | 71.59 Mn |
| Nov 3, 2024 | 87.39 Mn |
| Aug 4, 2024 | 60.76 Mn |
| May 5, 2024 | -7.83 Mn |
| Feb 4, 2024 | 90.24 Mn |
| Nov 5, 2023 | 105.86 Mn |
| Aug 6, 2023 | 24.00 Mn |
| May 7, 2023 | -42.12 Mn |
| Feb 5, 2023 | 93.55 Mn |
| Nov 6, 2022 | 35.66 Mn |
| Aug 7, 2022 | 39.05 Mn |
| May 8, 2022 | 18.90 Mn |
| Feb 6, 2022 | 61.88 Mn |
| Oct 31, 2021 | 11.29 Mn |
API Access
Everpure 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=P&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "P", "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=P&period=max&api_key=YOUR_API_KEY");
const data = await res.json();