Pure Bioscience (PURE) Operating Expenses (2010 - 2026)
Pure Bioscience (PURE) reported Operating Expenses of $787,000 for fiscal Q3 2026 (quarter ended Apr 30, 2026), down 9.2% from $867,000 a year earlier and down 14.5% from the prior quarter.
Powered by 
Analysis
Pure Bioscience (PURE) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Apr 30, 2026, Pure Bioscience's Operating Expenses came in at $3.34 million, down 10.8% year-over-year; for FY2025 (ended Jul 31, 2025), it was $3.58 million, down 17.7% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of -2.3% (FY2020 to FY2025).
- By fiscal year, Operating Expenses came in at $4.34 million in FY2024 (-11.6%), $4.91 million in FY2023 (+4.0%), $4.72 million in FY2022 (+7.7%) and $4.39 million in FY2021 (+9.2%).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Operating Expenses since fiscal Q3 2020.
- Year over year, Operating Expenses has now declined in each of the last eight quarters, with an average decline of 15.5% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q4 2022 (growth of 36.2%); the low point was fiscal Q4 2024 (a decline of 27.6%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $921,000 (Q2 2026), $829,000 (Q1 2026) and $804,000 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 231.45 Bn | 213.03 Bn | 4.43 Bn | 928.00 Mn |
| 2 | Corning | 116.59 Bn | 109.15 Bn | 1.63 Bn | 907.00 Mn |
| 3 | Sherwin Williams | 82.19 Bn | 81.23 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | 3.15 Bn |
| 5 | LyondellBasell Industries | 40.93 Bn | 30.44 Bn | 2.04 Bn | 7.63 Bn |
| 6 | Nutrien | 33.12 Bn | 29.95 Bn | 3.25 Bn | 235.00 Mn |
| 7 | Qnity Electronics | 25.20 Bn | 22.33 Bn | 666.00 Mn | 298.00 Mn |
| 8 | Ppg Industries | 24.54 Bn | 17.20 Bn | 1.81 Bn | 1.15 Bn |
| 9 | Ati | 24.54 Bn | 22.56 Bn | 309.80 Mn | 99.60 Mn |
| 10 | Pure Bioscience | 9.54 Mn | 7.59 Mn | 269,000.00 | 787,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 787,000.00 |
| Jan 31, 2026 | 921,000.00 |
| Oct 31, 2025 | 829,000.00 |
| Jul 31, 2025 | 804,000.00 |
| Apr 30, 2025 | 867,000.00 |
| Jan 31, 2025 | 952,000.00 |
| Oct 31, 2024 | 952,000.00 |
| Jul 31, 2024 | 974,000.00 |
| Apr 30, 2024 | 1.08 Mn |
| Jan 31, 2024 | 1.14 Mn |
| Oct 31, 2023 | 1.15 Mn |
| Jul 31, 2023 | 1.35 Mn |
| Apr 30, 2023 | 1.07 Mn |
| Jan 31, 2023 | 1.26 Mn |
| Oct 31, 2022 | 1.24 Mn |
| Jul 31, 2022 | 1.34 Mn |
| Apr 30, 2022 | 1.08 Mn |
| Jan 31, 2022 | 1.17 Mn |
| Oct 31, 2021 | 1.12 Mn |
| Jul 31, 2021 | 985,000.00 |
API Access
Pure Bioscience 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=operating-expenses&ticker=PURE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "PURE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=PURE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();