Everpure (P) Total Current Liabilities (2015 - 2026)
Everpure (P) reported Total Current Liabilities of $2.2 billion for fiscal Q2 2027 (quarter ended Aug 2, 2026), up 43.2% from $1.53 billion a year earlier and up 16.4% from the prior quarter.
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Analysis
Everpure (P) Total Current Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 1, 2026), Everpure posted Total Current Liabilities of $1.91 billion, up 19.6% from FY2025.
- Total Current Liabilities has a five-year compound annual growth rate of 20.2% (FY2021 to FY2026).
- By fiscal year, Total Current Liabilities came in at $1.6 billion in FY2025 (+16.9%), $1.37 billion in FY2024 (-22.0%), $1.75 billion in FY2023 (+83.7%) and $952.32 million in FY2022 (+25.2%).
- The fiscal Q2 2027 figure ranks as the highest quarterly Total Current Liabilities in data going back to fiscal Q4 2015.
- Year over year, Total Current Liabilities has now increased in each of the last ten quarters, with growth averaging 21.9% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was fiscal Q1 2023 (growth of 115.0%); the low point was fiscal Q3 2024 (a decline of 23.7%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $1.89 billion (Q1 2027), $1.91 billion (Q4 2026) and $1.61 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,059.58 Bn | 4,807.07 Bn | 54.77 Bn | 149.33 Bn |
| 2 | Cisco Systems | 451.20 Bn | 387.12 Bn | 11.06 Bn | 41.53 Bn |
| 3 | Dell Technologies | 365.27 Bn | 321.03 Bn | 9.83 Bn | 83.70 Bn |
| 4 | Arista Networks | 251.01 Bn | 204.46 Bn | 1.91 Bn | 6.82 Bn |
| 5 | Sandisk | 211.16 Bn | 199.69 Bn | 7.58 Bn | 5.58 Bn |
| 6 | Seagate Technology Holdings | 159.53 Bn | 154.52 Bn | 1.90 Bn | 3.13 Bn |
| 7 | Sony | 145.60 Bn | 82.87 Bn | 6.53 Bn | 30.37 Bn |
| 8 | Western Digital | 128.87 Bn | 117.00 Bn | 2.03 Bn | 4.24 Bn |
| 9 | Hewlett Packard Enterprise | 91.88 Bn | 69.75 Bn | 4.93 Bn | 30.44 Bn |
| 10 | Everpure | 50.56 Bn | 44.97 Bn | 811.39 Mn | 2.20 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 2.20 Bn |
| May 3, 2026 | 1.89 Bn |
| Feb 1, 2026 | 1.91 Bn |
| Nov 2, 2025 | 1.61 Bn |
| Aug 3, 2025 | 1.53 Bn |
| May 4, 2025 | 1.49 Bn |
| Feb 2, 2025 | 1.60 Bn |
| Nov 3, 2024 | 1.44 Bn |
| Aug 4, 2024 | 1.28 Bn |
| May 5, 2024 | 1.23 Bn |
| Feb 4, 2024 | 1.37 Bn |
| Nov 5, 2023 | 1.24 Bn |
| Aug 6, 2023 | 1.20 Bn |
| May 7, 2023 | 1.11 Bn |
| Feb 5, 2023 | 1.75 Bn |
| Nov 6, 2022 | 1.62 Bn |
| Aug 7, 2022 | 1.53 Bn |
| May 8, 2022 | 1.44 Bn |
| Feb 6, 2022 | 952.32 Mn |
| Oct 31, 2021 | 779.80 Mn |
API Access
Everpure Total Current Liabilities 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=total-current-liabilities&ticker=P&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=P&period=max&api_key=YOUR_API_KEY");
const data = await res.json();