Everpure (P) Total Liabilities (2015 - 2026)
Everpure's Total Liabilities was $3.68 billion in fiscal Q2 2027 (quarter ended Aug 2, 2026), up 35.9% from $2.71 billion a year earlier and up 11.2% from the prior quarter.
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Analysis
Everpure (P) Total Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 1, 2026), Total Liabilities at Everpure came in at $3.23 billion, up 21.5% from FY2025.
- Total Liabilities shows a five-year compound annual growth rate of 9.3% (FY2021 to FY2026).
- In earlier fiscal years, Total Liabilities was $2.66 billion in FY2025 (+11.4%), $2.39 billion in FY2024 (-8.3%), $2.6 billion in FY2023 (+9.3%) and $2.38 billion in FY2022 (+15.1%).
- The fiscal Q2 2027 figure marks the highest quarterly Total Liabilities in data going back to fiscal Q4 2015.
- Compared with a year earlier, Total Liabilities has increased for ten straight quarters, with growth averaging 19.2% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q2 2027 (growth of 35.9%); the worst was fiscal Q3 2024 (a decline of 8.5%).
- Per Business Quant data, P's Total Liabilities in the three fiscal quarters before Q2 2027 was $3.31 billion (Q1 2027), $3.23 billion (Q4 2026) and $2.82 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,059.58 Bn | 4,807.07 Bn | 54.77 Bn | 275.75 Bn |
| 2 | Cisco Systems | 451.20 Bn | 387.12 Bn | 11.06 Bn | 79.35 Bn |
| 3 | Dell Technologies | 365.27 Bn | 321.03 Bn | 9.83 Bn | 128.82 Bn |
| 4 | Arista Networks | 251.01 Bn | 204.46 Bn | 1.91 Bn | 8.92 Bn |
| 5 | Sandisk | 211.16 Bn | 199.69 Bn | 7.58 Bn | 6.77 Bn |
| 6 | Seagate Technology Holdings | 159.53 Bn | 154.52 Bn | 1.90 Bn | 7.81 Bn |
| 7 | Sony | 145.60 Bn | 82.87 Bn | 6.53 Bn | 44.91 Bn |
| 8 | Western Digital | 128.87 Bn | 117.00 Bn | 2.03 Bn | 5.00 Bn |
| 9 | Hewlett Packard Enterprise | 91.88 Bn | 69.75 Bn | 4.93 Bn | 57.02 Bn |
| 10 | Everpure | 50.56 Bn | 44.97 Bn | 811.39 Mn | 3.68 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 3.68 Bn |
| May 3, 2026 | 3.31 Bn |
| Feb 1, 2026 | 3.23 Bn |
| Nov 2, 2025 | 2.82 Bn |
| Aug 3, 2025 | 2.71 Bn |
| May 4, 2025 | 2.57 Bn |
| Feb 2, 2025 | 2.66 Bn |
| Nov 3, 2024 | 2.44 Bn |
| Aug 4, 2024 | 2.33 Bn |
| May 5, 2024 | 2.25 Bn |
| Feb 4, 2024 | 2.39 Bn |
| Nov 5, 2023 | 2.21 Bn |
| Aug 6, 2023 | 2.15 Bn |
| May 7, 2023 | 2.05 Bn |
| Feb 5, 2023 | 2.60 Bn |
| Nov 6, 2022 | 2.41 Bn |
| Aug 7, 2022 | 2.29 Bn |
| May 8, 2022 | 2.10 Bn |
| Feb 6, 2022 | 2.38 Bn |
| Oct 31, 2021 | 2.13 Bn |
API Access
Everpure Total 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-liabilities&ticker=P&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=P&period=max&api_key=YOUR_API_KEY");
const data = await res.json();