Everpure (P) Change in Receivables (2015 - 2026)
Everpure (P) reported Change in Receivables of $137.35 million for fiscal Q2 2027 (quarter ended Aug 2, 2026), up 15.3% from $119.16 million a year earlier.
Everpure (P) Change in Receivables (2015 - 2026) Analysis & Trends
Over the twelve months ended Aug 2, 2026, Everpure's Change in Receivables came in at $493.75 million, up 333.2% year-over-year; for FY2026 (ended Feb 1, 2026), it came in at $264.05 million.
- By fiscal year, Change in Receivables came in at $18.64 million in FY2025 (-62.5%), $49.69 million in FY2024 (-29.7%), $70.72 million in FY2023 (-13.0%) and $81.25 million in FY2022.
- Five-year quarterly Change in Receivables spans a low of -$269.54 million in fiscal Q1 2026 and a high of $323.91 million in fiscal Q4 2026.
- Year over year, Change in Receivables gained in four of the last five quarters, with growth averaging 106.2%.
- The high point for year-over-year Change in Receivables in five years was fiscal Q4 2025 (growth of 298.9%); the low point was fiscal Q4 2024 (a decline of 85.5%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at -$58.03 million (Q1 2027), $323.91 million (Q4 2026) and $90.53 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,059.58 Bn | 4,807.07 Bn | 54.77 Bn | 979.00 Mn |
| 2 | Cisco Systems | 451.20 Bn | 387.12 Bn | 11.06 Bn | 1.02 Bn |
| 3 | Dell Technologies | 365.27 Bn | 321.03 Bn | 9.83 Bn | -2.90 Bn |
| 4 | Arista Networks | 251.01 Bn | 204.46 Bn | 1.91 Bn | 342.40 Mn |
| 5 | Sandisk | 211.16 Bn | 199.69 Bn | 7.58 Bn | 1.98 Bn |
| 6 | Seagate Technology Holdings | 159.53 Bn | 154.52 Bn | 1.90 Bn | 337.00 Mn |
| 7 | Sony | 145.60 Bn | 82.87 Bn | 6.53 Bn | -50.83 Mn |
| 8 | Western Digital | 128.87 Bn | 117.00 Bn | 2.03 Bn | 133.00 Mn |
| 9 | Hewlett Packard Enterprise | 91.88 Bn | 69.75 Bn | 4.93 Bn | -101.00 Mn |
| 10 | Everpure | 50.56 Bn | 44.97 Bn | 811.39 Mn | 137.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 137.35 Mn |
| May 3, 2026 | -58.03 Mn |
| Feb 1, 2026 | 323.91 Mn |
| Nov 2, 2025 | 90.53 Mn |
| Aug 3, 2025 | 119.16 Mn |
| May 4, 2025 | -269.54 Mn |
| Feb 2, 2025 | 102.64 Mn |
| Nov 3, 2024 | 161.72 Mn |
| Aug 4, 2024 | -6.95 Mn |
| May 5, 2024 | -238.77 Mn |
| Feb 4, 2024 | 25.73 Mn |
| Nov 5, 2023 | 111.19 Mn |
| Aug 6, 2023 | 133.97 Mn |
| May 7, 2023 | -221.21 Mn |
| Feb 5, 2023 | 176.94 Mn |
| Nov 6, 2022 | 33.79 Mn |
| Aug 7, 2022 | 56.12 Mn |
| May 8, 2022 | -196.13 Mn |
| Feb 6, 2022 | 188.04 Mn |
| Oct 31, 2021 | -4.28 Mn |
Everpure Change in 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=change-in-receivables&ticker=P&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-receivables&ticker=P&period=max&api_key=YOUR_API_KEY");
const data = await res.json();