Everpure (P) Receivables (2015 - 2026)
Everpure's Receivables came in at $1.93 billion for fiscal Q2 2027 (quarter ended Aug 2, 2026), up 264.1% from $530.48 million a year earlier and up 62.5% from the prior quarter.
Everpure (P) Receivables (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 1, 2026), Everpure's Receivables was $1.19 billion, up 47.2% from FY2025.
- Receivables has increased in each of the last 11 fiscal years, with a five-year compound annual growth rate of 21.0% (FY2021 to FY2026).
- Going back by fiscal year, Receivables was $811.71 million in FY2025 (+22.6%), $662.18 million in FY2024 (+8.1%), $612.49 million in FY2023 (+13.0%) and $542.14 million in FY2022 (+17.6%).
- The fiscal Q2 2027 figure represents the highest quarterly Receivables in data going back to fiscal Q4 2015.
- Year-over-year, Receivables has increased for five consecutive quarters, with growth averaging 68.2% over the last eight quarters.
- The fastest year-over-year change in Receivables over five years came in fiscal Q2 2027 (growth of 264.1%), and the weakest in fiscal Q2 2025 (a decline of 20.7%).
- Business Quant data shows P's Receivables at $1.19 billion (Q1 2027), $1.19 billion (Q4 2026) and $620.96 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,059.58 Bn | 4,807.07 Bn | 54.77 Bn | 58.91 Bn |
| 2 | Cisco Systems | 451.20 Bn | 387.12 Bn | 11.06 Bn | 9.40 Bn |
| 3 | Dell Technologies | 365.27 Bn | 321.03 Bn | 9.83 Bn | 22.92 Bn |
| 4 | Arista Networks | 251.01 Bn | 204.46 Bn | 1.91 Bn | 2.27 Bn |
| 5 | Sandisk | 211.16 Bn | 199.69 Bn | 7.58 Bn | 63.41 Bn |
| 6 | Seagate Technology Holdings | 159.53 Bn | 154.52 Bn | 1.90 Bn | 1.66 Bn |
| 7 | Sony | 145.60 Bn | 82.87 Bn | 6.53 Bn | - |
| 8 | Western Digital | 128.87 Bn | 117.00 Bn | 2.03 Bn | 2.03 Bn |
| 9 | Hewlett Packard Enterprise | 91.88 Bn | 69.75 Bn | 4.93 Bn | 6.57 Bn |
| 10 | Everpure | 50.56 Bn | 44.97 Bn | 811.39 Mn | 1.93 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 1.93 Bn |
| May 3, 2026 | 1.19 Bn |
| Feb 1, 2026 | 1.19 Bn |
| Nov 2, 2025 | 620.96 Mn |
| Aug 3, 2025 | 530.48 Mn |
| May 4, 2025 | 411.32 Mn |
| Feb 2, 2025 | 811.71 Mn |
| Nov 3, 2024 | 578.22 Mn |
| Aug 4, 2024 | 416.50 Mn |
| May 5, 2024 | 423.45 Mn |
| Feb 4, 2024 | 662.18 Mn |
| Nov 5, 2023 | 636.32 Mn |
| Aug 6, 2023 | 525.26 Mn |
| May 7, 2023 | 391.29 Mn |
| Feb 5, 2023 | 612.49 Mn |
| Nov 6, 2022 | 435.62 Mn |
| Aug 7, 2022 | 402.01 Mn |
| May 8, 2022 | 345.93 Mn |
| Feb 6, 2022 | 542.14 Mn |
| Oct 31, 2021 | 354.18 Mn |
Everpure Receivables 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=receivables&ticker=P&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=P&period=max&api_key=YOUR_API_KEY");
const data = await res.json();