Pure Bioscience (PURE) Return on Assets [ROA] (2011 - 2026)
Pure Bioscience's Return on Assets [ROA] came in at -196.59% for fiscal Q3 2026 (quarter ended Apr 30, 2026), up 158.65 percentage points from -355.24% a year earlier and up 40.90 percentage points from the prior quarter.
Pure Bioscience (PURE) Return on Assets [ROA] (2011 - 2026) Analysis & Trends
For FY2025 (ended Jul 31, 2025), Pure Bioscience's Return on Assets [ROA] was -274.09%, down 20.90 percentage points from FY2024.
- Return on Assets [ROA] has declined in each of the last five fiscal years, with a five-year change of -274.07 percentage points (FY2020 to FY2025).
- Going back by fiscal year, Return on Assets [ROA] was -253.20% in FY2024 (-127.76 pp), -125.44% in FY2023 (-40.54 pp), -84.90% in FY2022 (-41.33 pp) and -43.57% in FY2021 (-43.55 pp).
- The fiscal Q3 2026 figure represents the highest quarterly Return on Assets [ROA] since fiscal Q1 2024.
- Year-over-year, Return on Assets [ROA] has increased for five consecutive quarters, with an average year-over-year change of +11.47 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Assets [ROA] over five years came in fiscal Q2 2026 (a gain of 175.46 percentage points), and the weakest in fiscal Q1 2025 (a drop of 197.08 percentage points).
- Business Quant data shows PURE's Return on Assets [ROA] at -237.49% (Q2 2026), -209.89% (Q1 2026) and -243.12% (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.86 Bn | 217.44 Bn | 4.43 Bn | 8.44% |
| 2 | Corning | 106.79 Bn | 99.36 Bn | 1.63 Bn | 6.46% |
| 3 | Sherwin Williams | 82.50 Bn | 81.54 Bn | 3.34 Bn | 10.08% |
| 4 | Air Products & Chemicals | 68.66 Bn | 63.85 Bn | 1.04 Bn | 0.01% |
| 5 | LyondellBasell Industries | 43.10 Bn | 32.61 Bn | 2.04 Bn | -1.01% |
| 6 | Nutrien | 33.93 Bn | 30.76 Bn | 3.25 Bn | 4.48% |
| 7 | Ppg Industries | 24.71 Bn | 17.37 Bn | 1.81 Bn | 7.08% |
| 8 | International Flavors & Fragrances | 24.04 Bn | 21.70 Bn | 853.00 Mn | 1.17% |
| 9 | Dow | 23.67 Bn | 7.16 Bn | 2.17 Bn | -1.64% |
| 10 | Pure Bioscience | 8.86 Mn | 6.91 Mn | 269,000.00 | -196.59% |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | -196.59% |
| Jan 31, 2026 | -237.49% |
| Oct 31, 2025 | -209.89% |
| Jul 31, 2025 | -243.12% |
| Apr 30, 2025 | -355.24% |
| Jan 31, 2025 | -412.95% |
| Oct 31, 2024 | -378.87% |
| Jul 31, 2024 | -385.04% |
| Apr 30, 2024 | -361.62% |
| Jan 31, 2024 | -218.59% |
| Oct 31, 2023 | -181.79% |
| Jul 31, 2023 | -216.88% |
| Apr 30, 2023 | -191.00% |
| Jan 31, 2023 | -129.75% |
| Oct 31, 2022 | -95.86% |
| Jul 31, 2022 | -113.00% |
| Apr 30, 2022 | -131.49% |
| Jan 31, 2022 | -103.31% |
| Oct 31, 2021 | -74.60% |
| Jul 31, 2021 | -50.61% |
Pure Bioscience Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=PURE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=PURE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();