Pure Bioscience (PURE) Net Margin (2010 - 2026)
Pure Bioscience (PURE) posted Net Margin of -123.32% for fiscal Q3 2026 (quarter ended Apr 30, 2026), down 5.19 percentage points from -118.13% a year earlier but up 53.48 percentage points from the prior quarter.
Pure Bioscience (PURE) Net Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Apr 30, 2026, Net Margin at Pure Bioscience was -91.04%, up 56.61 percentage points year-over-year; for FY2025 (ended Jul 31, 2025), it came in at -108.95%, up 61.71 percentage points from FY2024.
- Annual Net Margin shows a five-year change of -109.00 percentage points (FY2020 to FY2025).
- In prior fiscal years, Pure Bioscience's Net Margin was -170.66% in FY2024 (+40.37 pp), -211.03% in FY2023 (-22.63 pp), -188.40% in FY2022 (-129.34 pp) and -59.05% in FY2021 (-59.11 pp).
- Quarterly Net Margin has run from a low of -307.36% in fiscal Q2 2024 to a high of -43.46% in fiscal Q4 2025 over five years.
- On a year-over-year basis, Net Margin increased in six of the last eight quarters, with an average year-over-year change of +45.73 percentage points.
- The strongest year-over-year quarter for Net Margin in the past five years was fiscal Q4 2023, with a gain of 127.84 percentage points; the weakest was fiscal Q4 2022, with a drop of 213.94 percentage points.
- According to Business Quant data, Net Margin for the three prior fiscal quarters was -176.80% (Q2 2026), -65.54% (Q1 2026) and -43.46% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 231.45 Bn | 213.03 Bn | 4.43 Bn | 20.76% |
| 2 | Corning | 116.59 Bn | 109.15 Bn | 1.63 Bn | 12.41% |
| 3 | Sherwin Williams | 82.19 Bn | 81.23 Bn | 3.34 Bn | 12.43% |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | -45.58% |
| 5 | LyondellBasell Industries | 40.93 Bn | 30.44 Bn | 2.04 Bn | 6.08% |
| 6 | Nutrien | 33.12 Bn | 29.95 Bn | 3.25 Bn | 11.30% |
| 7 | Qnity Electronics | 25.20 Bn | 22.33 Bn | 666.00 Mn | 8.68% |
| 8 | Ppg Industries | 24.54 Bn | 17.20 Bn | 1.81 Bn | 9.72% |
| 9 | Ati | 24.54 Bn | 22.56 Bn | 309.80 Mn | 11.97% |
| 10 | Pure Bioscience | 9.54 Mn | 7.59 Mn | 269,000.00 | -123.32% |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | -123.32% |
| Jan 31, 2026 | -176.80% |
| Oct 31, 2025 | -65.54% |
| Jul 31, 2025 | -43.46% |
| Apr 30, 2025 | -118.13% |
| Jan 31, 2025 | -204.09% |
| Oct 31, 2024 | -123.92% |
| Jul 31, 2024 | -159.49% |
| Apr 30, 2024 | -194.33% |
| Jan 31, 2024 | -307.36% |
| Oct 31, 2023 | -101.80% |
| Jul 31, 2023 | -171.43% |
| Apr 30, 2023 | -215.23% |
| Jan 31, 2023 | -267.00% |
| Oct 31, 2022 | -210.83% |
| Jul 31, 2022 | -299.27% |
| Apr 30, 2022 | -145.04% |
| Jan 31, 2022 | -168.75% |
| Oct 31, 2021 | -158.88% |
| Jul 31, 2021 | -85.33% |
Pure Bioscience Net 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=net-margin&ticker=PURE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-margin&ticker=PURE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();