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.
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Analysis
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 Set
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
Download Data
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 |
API Access
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_KEYimport 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();