Everpure (P) Other Operating Expenses (2014 - 2026)
Everpure (P) recorded Other Operating Expenses of $346.08 million in fiscal Q2 2027 (quarter ended Aug 2, 2026), up 21.1% from $285.89 million a year earlier but down 0.5% from the prior quarter.
Everpure (P) Other Operating Expenses (2014 - 2026) Analysis & Trends
On a TTM basis, Everpure's Other Operating Expenses came in at $1.31 billion as of Aug 2, 2026, up 20.9% year-over-year; for FY2026 (ended Feb 1, 2026), it was $1.18 billion, up 15.7% from FY2025.
- Annual Other Operating Expenses has increased for five straight fiscal years, with a five-year compound annual growth rate of 10.5% (FY2021 to FY2026).
- Across earlier fiscal years, Other Operating Expenses came in at $1.02 billion in FY2025 (+8.0%), $945.02 million in FY2024 (+7.0%), $883.61 million in FY2023 (+10.6%) and $799 million in FY2022 (+11.6%).
- Quarterly Other Operating Expenses has ranged from $193.17 million in fiscal Q3 2022 to $347.86 million in fiscal Q1 2027 over the past five years.
- On a year-over-year basis, Other Operating Expenses has increased for 23 consecutive quarters, with growth averaging 15.7% over the last eight quarters.
- Across the past five years, year-over-year growth in Other Operating Expenses ran from 0.7% in fiscal Q4 2024 to 24.9% in fiscal Q1 2027.
- Per Business Quant, the preceding three fiscal quarters came in at $347.86 million (Q1 2027), $323.27 million (Q4 2026) and $293.82 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 5,073.62 Bn | 4,819.08 Bn | 54.82 Bn |
| 2 | Cisco Systems | 379.24 Bn | 315.17 Bn | 11.06 Bn |
| 3 | Dell Technologies | 206.60 Bn | 162.35 Bn | 9.83 Bn |
| 4 | Arista Networks | 202.48 Bn | 155.93 Bn | 1.91 Bn |
| 5 | Sony | 164.67 Bn | 101.93 Bn | 6.53 Bn |
| 6 | Sandisk | 121.60 Bn | 106.43 Bn | 9.38 Bn |
| 7 | Seagate Technology Holdings | 107.39 Bn | 102.23 Bn | 2.43 Bn |
| 8 | Western Digital | 98.67 Bn | 88.50 Bn | 2.53 Bn |
| 9 | Hewlett Packard Enterprise | 59.93 Bn | 37.81 Bn | 4.93 Bn |
| 10 | Everpure | 31.45 Bn | 25.86 Bn | 811.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 346.08 Mn |
| May 3, 2026 | 347.86 Mn |
| Feb 1, 2026 | 323.27 Mn |
| Nov 2, 2025 | 293.82 Mn |
| Aug 3, 2025 | 285.89 Mn |
| May 4, 2025 | 278.51 Mn |
| Feb 2, 2025 | 263.85 Mn |
| Nov 3, 2024 | 255.83 Mn |
| Aug 4, 2024 | 250.27 Mn |
| May 5, 2024 | 250.97 Mn |
| Feb 4, 2024 | 248.14 Mn |
| Nov 5, 2023 | 231.71 Mn |
| Aug 6, 2023 | 232.73 Mn |
| May 7, 2023 | 232.45 Mn |
| Feb 5, 2023 | 246.48 Mn |
| Nov 6, 2022 | 212.14 Mn |
| Aug 7, 2022 | 206.84 Mn |
| May 8, 2022 | 218.15 Mn |
| Feb 6, 2022 | 231.95 Mn |
| Oct 31, 2021 | 193.17 Mn |
Everpure Other Operating Expenses 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=other-operating-expenses&ticker=P&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=P&period=max&api_key=YOUR_API_KEY");
const data = await res.json();