Everpure (P) Goodwill & Intangibles (2015 - 2026)
Everpure (P) recorded Goodwill & Intangibles of $489.65 million in fiscal Q2 2027 (quarter ended Aug 2, 2026), up 31.4% from $372.57 million a year earlier and up 32.2% from the prior quarter.
Everpure (P) Goodwill & Intangibles (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 1, 2026), Everpure reported Goodwill & Intangibles of $372.42 million, down 2.1% from FY2025.
- Annual Goodwill & Intangibles has declined for five straight fiscal years, with a five-year compound annual growth rate of -3.1% (FY2021 to FY2026).
- Across earlier fiscal years, Goodwill & Intangibles came in at $380.5 million in FY2025 (-3.5%), $394.44 million in FY2024 (-3.9%), $410.65 million in FY2023 (-2.5%) and $421.38 million in FY2022 (-3.2%).
- The fiscal Q2 2027 figure is the highest quarterly Goodwill & Intangibles in data going back to fiscal Q4 2015.
- On a year-over-year basis, Goodwill & Intangibles rose in 1 of the last eight quarters, with growth averaging 1.3%.
- Peak year-over-year performance for Goodwill & Intangibles in the last five years was growth of 31.4% in fiscal Q2 2027, against a decline of 4.1% in fiscal Q2 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $370.44 million (Q1 2027), $372.42 million (Q4 2026) and $374.15 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 5,059.58 Bn | 4,807.07 Bn | 54.77 Bn |
| 2 | Cisco Systems | 451.20 Bn | 387.12 Bn | 11.06 Bn |
| 3 | Dell Technologies | 365.27 Bn | 321.03 Bn | 9.83 Bn |
| 4 | Arista Networks | 251.01 Bn | 204.46 Bn | 1.91 Bn |
| 5 | Sandisk | 211.16 Bn | 199.69 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 159.53 Bn | 154.52 Bn | 1.90 Bn |
| 7 | Sony | 145.60 Bn | 82.87 Bn | 6.53 Bn |
| 8 | Western Digital | 128.87 Bn | 117.00 Bn | 2.03 Bn |
| 9 | Hewlett Packard Enterprise | 91.88 Bn | 69.75 Bn | 4.93 Bn |
| 10 | Everpure | 50.56 Bn | 44.97 Bn | 811.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 489.65 Mn |
| May 3, 2026 | 370.44 Mn |
| Feb 1, 2026 | 372.42 Mn |
| Nov 2, 2025 | 374.15 Mn |
| Aug 3, 2025 | 372.57 Mn |
| May 4, 2025 | 376.54 Mn |
| Feb 2, 2025 | 380.50 Mn |
| Nov 3, 2024 | 384.47 Mn |
| Aug 4, 2024 | 388.43 Mn |
| May 5, 2024 | 390.58 Mn |
| Feb 4, 2024 | 394.44 Mn |
| Nov 5, 2023 | 398.30 Mn |
| Aug 6, 2023 | 402.33 Mn |
| May 7, 2023 | 406.49 Mn |
| Feb 5, 2023 | 410.65 Mn |
| Nov 6, 2022 | 414.81 Mn |
| Aug 7, 2022 | 418.96 Mn |
| May 8, 2022 | 417.33 Mn |
| Feb 6, 2022 | 421.38 Mn |
| Oct 31, 2021 | 425.73 Mn |
Everpure Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=P&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=P&period=max&api_key=YOUR_API_KEY");
const data = await res.json();