Everpure (P) Revenue (2014 - 2026)
Everpure's Revenue was $1.19 billion in fiscal Q2 2027 (quarter ended Aug 2, 2026), up 37.7% from $861 million a year earlier and up 12.6% from the prior quarter.
Everpure (P) Revenue (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, Everpure's Revenue was $4.26 billion through Aug 2, 2026, up 27.2% year-over-year; for FY2026 (ended Feb 1, 2026), it was $3.66 billion, up 15.6% from FY2025.
- Revenue has now increased for 12 consecutive fiscal years, with a five-year compound annual growth rate of 16.8% (FY2021 to FY2026).
- In earlier fiscal years, Revenue was $3.17 billion in FY2025 (+11.9%), $2.83 billion in FY2024 (+2.8%), $2.75 billion in FY2023 (+26.3%) and $2.18 billion in FY2022 (+29.5%).
- The fiscal Q2 2027 figure marks the highest quarterly Revenue in data going back to fiscal Q3 2015.
- Compared with a year earlier, Revenue has increased for ten straight quarters, with growth averaging 19.3% over the last eight quarters.
- The best year-over-year quarter for Revenue over five years was fiscal Q1 2023 (growth of 50.3%); the worst was fiscal Q1 2024 (a decline of 5.0%).
- Per Business Quant data, P's Revenue in the three fiscal quarters before Q2 2027 was $1.05 billion (Q1 2027), $1.06 billion (Q4 2026) and $964.45 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,045.22 Bn | 4,792.71 Bn | 54.77 Bn | 109.42 Bn |
| 2 | Cisco Systems | 453.84 Bn | 389.77 Bn | 11.06 Bn | 17.25 Bn |
| 3 | Dell Technologies | 368.19 Bn | 323.95 Bn | 9.83 Bn | 46.97 Bn |
| 4 | Arista Networks | 254.82 Bn | 208.28 Bn | 1.91 Bn | 3.04 Bn |
| 5 | Sandisk | 213.87 Bn | 202.39 Bn | 7.58 Bn | 8.97 Bn |
| 6 | Seagate Technology Holdings | 161.92 Bn | 156.91 Bn | 1.90 Bn | 3.63 Bn |
| 7 | Sony | 145.90 Bn | 83.16 Bn | 6.53 Bn | 17.80 Bn |
| 8 | Western Digital | 131.27 Bn | 119.40 Bn | 2.03 Bn | 3.75 Bn |
| 9 | Hewlett Packard Enterprise | 91.96 Bn | 69.83 Bn | 4.93 Bn | 12.21 Bn |
| 10 | Everpure | 51.44 Bn | 45.85 Bn | 811.39 Mn | 1.19 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 1.19 Bn |
| May 3, 2026 | 1.05 Bn |
| Feb 1, 2026 | 1.06 Bn |
| Nov 2, 2025 | 964.45 Mn |
| Aug 3, 2025 | 861.00 Mn |
| May 4, 2025 | 778.49 Mn |
| Feb 2, 2025 | 879.84 Mn |
| Nov 3, 2024 | 831.07 Mn |
| Aug 4, 2024 | 763.77 Mn |
| May 5, 2024 | 693.48 Mn |
| Feb 4, 2024 | 789.81 Mn |
| Nov 5, 2023 | 762.84 Mn |
| Aug 6, 2023 | 688.67 Mn |
| May 7, 2023 | 589.31 Mn |
| Feb 5, 2023 | 810.21 Mn |
| Nov 6, 2022 | 676.05 Mn |
| Aug 7, 2022 | 646.77 Mn |
| May 8, 2022 | 620.41 Mn |
| Feb 6, 2022 | 708.57 Mn |
| Oct 31, 2021 | 562.74 Mn |
Everpure Revenue 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=revenue&ticker=P&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=P&period=max&api_key=YOUR_API_KEY");
const data = await res.json();