Everpure (P) Cost of Revenue (2014 - 2026)
Everpure's Cost of Revenue was $374.51 million in fiscal Q2 2027 (quarter ended Aug 2, 2026), up 45.9% from $256.67 million a year earlier and up 13.6% from the prior quarter.
Everpure (P) Cost of Revenue (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, Everpure's Cost of Revenue was $1.29 billion through Aug 2, 2026, up 24.9% year-over-year; for FY2026 (ended Feb 1, 2026), it was $1.08 billion, up 13.5% from FY2025.
- Cost of Revenue shows a five-year compound annual growth rate of 15.2% (FY2021 to FY2026).
- In earlier fiscal years, Cost of Revenue was $955.46 million in FY2025 (+18.0%), $809.43 million in FY2024 (-5.4%), $855.79 million in FY2023 (+20.8%) and $708.33 million in FY2022 (+32.3%).
- The fiscal Q2 2027 figure marks the highest quarterly Cost of Revenue in data going back to fiscal Q3 2015.
- Compared with a year earlier, Cost of Revenue has increased for ten straight quarters, with growth averaging 23.2% over the last eight quarters.
- The best year-over-year quarter for Cost of Revenue over five years was fiscal Q1 2023 (growth of 48.3%); the worst was fiscal Q4 2024 (a decline of 11.1%).
- Per Business Quant data, P's Cost of Revenue in the three fiscal quarters before Q2 2027 was $329.56 million (Q1 2027), $318.82 million (Q4 2026) and $267.08 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,059.58 Bn | 4,807.07 Bn | 54.77 Bn | 54.65 Bn |
| 2 | Cisco Systems | 451.20 Bn | 387.12 Bn | 11.06 Bn | 6.19 Bn |
| 3 | Dell Technologies | 365.27 Bn | 321.03 Bn | 9.83 Bn | 37.14 Bn |
| 4 | Arista Networks | 251.01 Bn | 204.46 Bn | 1.91 Bn | 1.13 Bn |
| 5 | Sandisk | 211.16 Bn | 199.69 Bn | 7.58 Bn | 1.38 Bn |
| 6 | Seagate Technology Holdings | 159.53 Bn | 154.52 Bn | 1.90 Bn | 1.73 Bn |
| 7 | Sony | 145.60 Bn | 82.87 Bn | 6.53 Bn | 11.27 Bn |
| 8 | Western Digital | 128.87 Bn | 117.00 Bn | 2.03 Bn | 1.72 Bn |
| 9 | Hewlett Packard Enterprise | 91.88 Bn | 69.75 Bn | 4.93 Bn | 7.29 Bn |
| 10 | Everpure | 50.56 Bn | 44.97 Bn | 811.39 Mn | 374.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 374.51 Mn |
| May 3, 2026 | 329.56 Mn |
| Feb 1, 2026 | 318.82 Mn |
| Nov 2, 2025 | 267.08 Mn |
| Aug 3, 2025 | 256.67 Mn |
| May 4, 2025 | 242.33 Mn |
| Feb 2, 2025 | 285.84 Mn |
| Nov 3, 2024 | 248.15 Mn |
| Aug 4, 2024 | 223.69 Mn |
| May 5, 2024 | 197.77 Mn |
| Feb 4, 2024 | 221.30 Mn |
| Nov 5, 2023 | 210.09 Mn |
| Aug 6, 2023 | 202.08 Mn |
| May 7, 2023 | 175.96 Mn |
| Feb 5, 2023 | 248.89 Mn |
| Nov 6, 2022 | 209.72 Mn |
| Aug 7, 2022 | 203.20 Mn |
| May 8, 2022 | 193.98 Mn |
| Feb 6, 2022 | 232.74 Mn |
| Oct 31, 2021 | 187.95 Mn |
Everpure Cost of 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=cost-of-revenue&ticker=P&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=P&period=max&api_key=YOUR_API_KEY");
const data = await res.json();