Pure Bioscience (PURE) Operating Margin (2010 - 2026)
Pure Bioscience (PURE) reported Operating Margin of -102.37% for fiscal Q3 2026 (quarter ended Apr 30, 2026), up 16.57 percentage points from -118.94% a year earlier and up 51.46 percentage points from the prior quarter.
Pure Bioscience (PURE) Operating Margin (2010 - 2026) Analysis & Trends
Over the twelve months ended Apr 30, 2026, Pure Bioscience's Operating Margin came in at -79.11%, up 58.71 percentage points year-over-year; for FY2025 (ended Jul 31, 2025), it was -103.18%, up 59.38 percentage points from FY2024.
- Operating Margin has a five-year change of -103.24 percentage points (FY2020 to FY2025).
- By fiscal year, Operating Margin came in at -162.56% in FY2024 (+47.51 pp), -210.07% in FY2023 (-9.10 pp), -200.97% in FY2022 (-142.12 pp) and -58.85% in FY2021 (-58.91 pp).
- Five-year quarterly Operating Margin spans a low of -298.54% in fiscal Q4 2022 and a high of -43.98% in fiscal Q4 2025.
- Year over year, Operating Margin has now increased in each of the last six quarters, with an average year-over-year change of +49.48 percentage points over the last eight quarters.
- The high point for year-over-year Operating Margin in five years was fiscal Q4 2023 (a gain of 128.44 percentage points); the low point was fiscal Q4 2022 (a drop of 213.79 percentage points).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at -153.83% (Q2 2026), -53.53% (Q1 2026) and -43.98% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 231.45 Bn | 213.03 Bn | 4.43 Bn | 27.49% |
| 2 | Corning | 116.59 Bn | 109.15 Bn | 1.63 Bn | 15.49% |
| 3 | Sherwin Williams | 82.19 Bn | 81.23 Bn | 3.34 Bn | 18.18% |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | -66.34% |
| 5 | LyondellBasell Industries | 40.93 Bn | 30.44 Bn | 2.04 Bn | 16.81% |
| 6 | Nutrien | 33.12 Bn | 29.95 Bn | 3.25 Bn | 16.44% |
| 7 | Qnity Electronics | 25.20 Bn | 22.33 Bn | 666.00 Mn | 25.75% |
| 8 | Ppg Industries | 24.54 Bn | 17.20 Bn | 1.81 Bn | 14.73% |
| 9 | Ati | 24.54 Bn | 22.56 Bn | 309.80 Mn | 17.45% |
| 10 | Pure Bioscience | 9.54 Mn | 7.59 Mn | 269,000.00 | -102.37% |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | -102.37% |
| Jan 31, 2026 | -153.83% |
| Oct 31, 2025 | -53.53% |
| Jul 31, 2025 | -43.98% |
| Apr 30, 2025 | -118.94% |
| Jan 31, 2025 | -185.42% |
| Oct 31, 2024 | -112.77% |
| Jul 31, 2024 | -147.47% |
| Apr 30, 2024 | -185.26% |
| Jan 31, 2024 | -295.71% |
| Oct 31, 2023 | -98.48% |
| Jul 31, 2023 | -170.10% |
| Apr 30, 2023 | -214.99% |
| Jan 31, 2023 | -266.50% |
| Oct 31, 2022 | -209.34% |
| Jul 31, 2022 | -298.54% |
| Apr 30, 2022 | -144.85% |
| Jan 31, 2022 | -225.96% |
| Oct 31, 2021 | -158.68% |
| Jul 31, 2021 | -84.75% |
Pure Bioscience Operating Margin 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-margin&ticker=PURE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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-margin&ticker=PURE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();