Everpure (P) Total Non-Current Liabilities (2015 - 2026)
Everpure (P) recorded Total Non-Current Liabilities of $3.57 billion in fiscal Q2 2027 (quarter ended Aug 2, 2026), up 36.5% from $2.62 billion a year earlier and up 11.5% from the prior quarter.
Everpure (P) Total Non-Current Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 1, 2026), Everpure reported Total Non-Current Liabilities of $3.13 billion, up 21.5% from FY2025.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 8.9% (FY2021 to FY2026).
- Across earlier fiscal years, Total Non-Current Liabilities came in at $2.58 billion in FY2025 (+10.5%), $2.33 billion in FY2024 (-8.9%), $2.56 billion in FY2023 (+8.9%) and $2.35 billion in FY2022 (+15.1%).
- The fiscal Q2 2027 figure is the highest quarterly Total Non-Current Liabilities in data going back to fiscal Q4 2015.
- On a year-over-year basis, Total Non-Current Liabilities has increased for ten consecutive quarters, with growth averaging 18.9% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 36.5% in fiscal Q2 2027, against a decline of 9.1% in fiscal Q3 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $3.2 billion (Q1 2027), $3.13 billion (Q4 2026) and $2.72 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,059.58 Bn | 4,807.07 Bn | 54.77 Bn | 126.42 Bn |
| 2 | Cisco Systems | 451.20 Bn | 387.12 Bn | 11.06 Bn | 76.03 Bn |
| 3 | Dell Technologies | 365.27 Bn | 321.03 Bn | 9.83 Bn | 124.65 Bn |
| 4 | Arista Networks | 251.01 Bn | 204.46 Bn | 1.91 Bn | 8.58 Bn |
| 5 | Sandisk | 211.16 Bn | 199.69 Bn | 7.58 Bn | 6.39 Bn |
| 6 | Seagate Technology Holdings | 159.53 Bn | 154.52 Bn | 1.90 Bn | 6.63 Bn |
| 7 | Sony | 145.60 Bn | 82.87 Bn | 6.53 Bn | 14.55 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 | 47.78 Bn |
| 10 | Everpure | 50.56 Bn | 44.97 Bn | 811.39 Mn | 3.57 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 3.57 Bn |
| May 3, 2026 | 3.20 Bn |
| Feb 1, 2026 | 3.13 Bn |
| Nov 2, 2025 | 2.72 Bn |
| Aug 3, 2025 | 2.62 Bn |
| May 4, 2025 | 2.48 Bn |
| Feb 2, 2025 | 2.58 Bn |
| Nov 3, 2024 | 2.38 Bn |
| Aug 4, 2024 | 2.27 Bn |
| May 5, 2024 | 2.19 Bn |
| Feb 4, 2024 | 2.33 Bn |
| Nov 5, 2023 | 2.16 Bn |
| Aug 6, 2023 | 2.10 Bn |
| May 7, 2023 | 2.01 Bn |
| Feb 5, 2023 | 2.56 Bn |
| Nov 6, 2022 | 2.37 Bn |
| Aug 7, 2022 | 2.25 Bn |
| May 8, 2022 | 2.07 Bn |
| Feb 6, 2022 | 2.35 Bn |
| Oct 31, 2021 | 2.11 Bn |
Everpure Total Non-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-non-current-liabilities&ticker=P&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=P&period=max&api_key=YOUR_API_KEY");
const data = await res.json();