Everpure (P) Inventory (2015 - 2026)
Everpure's Inventory was $106.3 million in fiscal Q2 2027 (quarter ended Aug 2, 2026), up 127.1% from $46.81 million a year earlier and up 36.4% from the prior quarter.
Powered by 
Analysis
Everpure (P) Inventory (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 1, 2026), Inventory at Everpure came in at $75.94 million, up 77.4% from FY2025.
- Inventory shows a five-year compound annual growth rate of 10.2% (FY2021 to FY2026).
- In earlier fiscal years, Inventory was $42.81 million in FY2025 (+0.3%), $42.66 million in FY2024 (-14.9%), $50.15 million in FY2023 (+28.8%) and $38.94 million in FY2022 (-16.7%).
- The fiscal Q2 2027 figure marks the highest quarterly Inventory in data going back to fiscal Q4 2015.
- Compared with a year earlier, Inventory has increased for five straight quarters, with growth averaging 50.1% over the last eight quarters.
- The best year-over-year quarter for Inventory over five years was fiscal Q2 2027 (growth of 127.1%); the worst was fiscal Q3 2024 (a decline of 22.6%).
- Per Business Quant data, P's Inventory in the three fiscal quarters before Q2 2027 was $77.94 million (Q1 2027), $75.94 million (Q4 2026) and $82.42 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,073.62 Bn | 4,819.08 Bn | 54.82 Bn | 14.54 Bn |
| 2 | Cisco Systems | 379.24 Bn | 315.17 Bn | 11.06 Bn | 5.69 Bn |
| 3 | Dell Technologies | 206.60 Bn | 162.35 Bn | 9.83 Bn | 21.29 Bn |
| 4 | Arista Networks | 202.48 Bn | 155.93 Bn | 1.91 Bn | 2.54 Bn |
| 5 | Sony | 164.67 Bn | 101.93 Bn | 6.53 Bn | 8.43 Bn |
| 6 | Sandisk | 121.60 Bn | 106.43 Bn | 9.38 Bn | 3.02 Bn |
| 7 | Seagate Technology Holdings | 107.39 Bn | 102.23 Bn | 2.43 Bn | 1.70 Bn |
| 8 | Western Digital | 98.67 Bn | 88.50 Bn | 2.53 Bn | 1.78 Bn |
| 9 | Hewlett Packard Enterprise | 59.93 Bn | 37.81 Bn | 4.93 Bn | 11.82 Bn |
| 10 | Everpure | 31.45 Bn | 25.86 Bn | 811.39 Mn | 106.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 106.30 Mn |
| May 3, 2026 | 77.94 Mn |
| Feb 1, 2026 | 75.94 Mn |
| Nov 2, 2025 | 82.42 Mn |
| Aug 3, 2025 | 46.81 Mn |
| May 4, 2025 | 37.55 Mn |
| Feb 2, 2025 | 42.81 Mn |
| Nov 3, 2024 | 41.57 Mn |
| Aug 4, 2024 | 43.55 Mn |
| May 5, 2024 | 40.67 Mn |
| Feb 4, 2024 | 42.66 Mn |
| Nov 5, 2023 | 46.21 Mn |
| Aug 6, 2023 | 47.50 Mn |
| May 7, 2023 | 51.82 Mn |
| Feb 5, 2023 | 50.15 Mn |
| Nov 6, 2022 | 59.72 Mn |
| Aug 7, 2022 | 52.27 Mn |
| May 8, 2022 | 41.30 Mn |
| Feb 6, 2022 | 38.94 Mn |
| Oct 31, 2021 | 44.04 Mn |
API Access
Everpure Inventory 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=inventory&ticker=P&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=P&period=max&api_key=YOUR_API_KEY");
const data = await res.json();