Everpure (P) Finished Goods (2017 - 2026)
Everpure's Finished Goods was $24.37 million in fiscal Q2 2027 (quarter ended Aug 2, 2026), down 33.6% from $36.69 million a year earlier and down 23.4% from the prior quarter.
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Analysis
Everpure (P) Finished Goods (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 1, 2026), Finished Goods at Everpure came in at $35.97 million, up 8.3% from FY2025.
- Finished Goods shows a five-year compound annual growth rate of -2.9% (FY2021 to FY2026).
- In earlier fiscal years, Finished Goods was $33.19 million in FY2025 (+42.2%), $23.35 million in FY2024 (-7.6%), $25.26 million in FY2023 (+8.8%) and $23.21 million in FY2022 (-44.4%).
- The fiscal Q2 2027 figure marks the lowest quarterly Finished Goods since fiscal Q1 2025.
- Compared with a year earlier, Finished Goods was higher in seven of the last eight quarters, with growth averaging 15.7%.
- The best year-over-year quarter for Finished Goods over five years was fiscal Q4 2025 (growth of 42.2%); the worst was fiscal Q1 2023 (a decline of 44.9%).
- Per Business Quant data, P's Finished Goods in the three fiscal quarters before Q2 2027 was $31.82 million (Q1 2027), $35.97 million (Q4 2026) and $36.39 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 5,059.58 Bn | 4,807.07 Bn | 54.77 Bn |
| 2 | Cisco Systems | 451.20 Bn | 387.12 Bn | 11.06 Bn |
| 3 | Dell Technologies | 365.27 Bn | 321.03 Bn | 9.83 Bn |
| 4 | Arista Networks | 251.01 Bn | 204.46 Bn | 1.91 Bn |
| 5 | Sandisk | 211.16 Bn | 199.69 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 159.53 Bn | 154.52 Bn | 1.90 Bn |
| 7 | Sony | 145.60 Bn | 82.87 Bn | 6.53 Bn |
| 8 | Western Digital | 128.87 Bn | 117.00 Bn | 2.03 Bn |
| 9 | Hewlett Packard Enterprise | 91.88 Bn | 69.75 Bn | 4.93 Bn |
| 10 | Everpure | 50.56 Bn | 44.97 Bn | 811.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 24.37 Mn |
| May 3, 2026 | 31.82 Mn |
| Feb 1, 2026 | 35.97 Mn |
| Nov 2, 2025 | 36.39 Mn |
| Aug 3, 2025 | 36.69 Mn |
| May 4, 2025 | 30.25 Mn |
| Feb 2, 2025 | 33.19 Mn |
| Nov 3, 2024 | 28.53 Mn |
| Aug 4, 2024 | 28.28 Mn |
| May 5, 2024 | 22.54 Mn |
| Feb 4, 2024 | 23.35 Mn |
| Nov 5, 2023 | 25.51 Mn |
| Aug 6, 2023 | 26.45 Mn |
| May 7, 2023 | 28.90 Mn |
| Feb 5, 2023 | 25.26 Mn |
| Nov 6, 2022 | 35.25 Mn |
| Aug 7, 2022 | 26.66 Mn |
| May 8, 2022 | 23.94 Mn |
| Feb 6, 2022 | 23.21 Mn |
| Oct 31, 2021 | 33.43 Mn |
API Access
Everpure 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=P&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=P&period=max&api_key=YOUR_API_KEY");
const data = await res.json();