Everpure (P) Research & Development (2014 - 2026)
Everpure (P) recorded Research & Development of $293.75 million in fiscal Q2 2027 (quarter ended Aug 2, 2026), up 21.4% from $242.03 million a year earlier and up 13.4% from the prior quarter.
Everpure (P) Research & Development (2014 - 2026) Analysis & Trends
On a TTM basis, Everpure's Research & Development came in at $1.05 billion as of Aug 2, 2026, up 19.7% year-over-year; for FY2026 (ended Feb 1, 2026), it was $963.29 million, up 19.8% from FY2025.
- Annual Research & Development has increased for 12 straight fiscal years, with a five-year compound annual growth rate of 14.9% (FY2021 to FY2026).
- Across earlier fiscal years, Research & Development came in at $804.41 million in FY2025 (+9.2%), $736.76 million in FY2024 (+6.4%), $692.53 million in FY2023 (+19.0%) and $581.94 million in FY2022 (+21.1%).
- The fiscal Q2 2027 figure is the highest quarterly Research & Development in data going back to fiscal Q3 2015.
- On a year-over-year basis, Research & Development has increased for 44 consecutive quarters, with growth averaging 17.8% over the last eight quarters.
- Across the past five years, year-over-year growth in Research & Development ran from 0.7% in fiscal Q4 2024 to 28.1% in fiscal Q3 2026.
- Per Business Quant, the preceding three fiscal quarters came in at $259.09 million (Q1 2027), $243.16 million (Q4 2026) and $256.36 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,059.58 Bn | 4,807.07 Bn | 54.77 Bn | 11.73 Bn |
| 2 | Cisco Systems | 451.20 Bn | 387.12 Bn | 11.06 Bn | 2.43 Bn |
| 3 | Dell Technologies | 365.27 Bn | 321.03 Bn | 9.83 Bn | 1.11 Bn |
| 4 | Arista Networks | 251.01 Bn | 204.46 Bn | 1.91 Bn | 348.20 Mn |
| 5 | Sandisk | 211.16 Bn | 199.69 Bn | 7.58 Bn | 348.00 Mn |
| 6 | Seagate Technology Holdings | 159.53 Bn | 154.52 Bn | 1.90 Bn | 188.00 Mn |
| 7 | Sony | 145.60 Bn | 82.87 Bn | 6.53 Bn | - |
| 8 | Western Digital | 128.87 Bn | 117.00 Bn | 2.03 Bn | 284.00 Mn |
| 9 | Hewlett Packard Enterprise | 91.88 Bn | 69.75 Bn | 4.93 Bn | 1.16 Bn |
| 10 | Everpure | 50.56 Bn | 44.97 Bn | 811.39 Mn | 293.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 293.75 Mn |
| May 3, 2026 | 259.09 Mn |
| Feb 1, 2026 | 243.16 Mn |
| Nov 2, 2025 | 256.36 Mn |
| Aug 3, 2025 | 242.03 Mn |
| May 4, 2025 | 221.74 Mn |
| Feb 2, 2025 | 215.01 Mn |
| Nov 3, 2024 | 200.09 Mn |
| Aug 4, 2024 | 195.49 Mn |
| May 5, 2024 | 193.82 Mn |
| Feb 4, 2024 | 186.84 Mn |
| Nov 5, 2023 | 182.10 Mn |
| Aug 6, 2023 | 182.49 Mn |
| May 7, 2023 | 185.33 Mn |
| Feb 5, 2023 | 185.56 Mn |
| Nov 6, 2022 | 180.01 Mn |
| Aug 7, 2022 | 165.69 Mn |
| May 8, 2022 | 161.27 Mn |
| Feb 6, 2022 | 162.64 Mn |
| Oct 31, 2021 | 147.81 Mn |
Everpure Research & Development 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=research-and-development&ticker=P&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=P&period=max&api_key=YOUR_API_KEY");
const data = await res.json();