Pure Bioscience (PURE) Non-Current Assets (2011 - 2026)
Pure Bioscience's Non-Current Assets came in at $9,000 for fiscal Q3 2026 (quarter ended Apr 30, 2026), down 18.2% from $11,000 a year earlier and unchanged from the prior quarter.
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Analysis
Pure Bioscience (PURE) Non-Current Assets (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Jul 31, 2025), Pure Bioscience's Non-Current Assets was $11,000, down 15.4% from FY2024.
- Non-Current Assets has declined in each of the last four fiscal years, with a five-year compound annual growth rate of -57.1% (FY2020 to FY2025).
- Going back by fiscal year, Non-Current Assets was $13,000 in FY2024 (-94.1%), $221,000 in FY2023 (-64.4%), $620,000 in FY2022 (-43.9%) and $1.11 million in FY2021 (+46.1%).
- The five-year range for quarterly Non-Current Assets is $9,000 (fiscal Q2 2026) to $1.11 million (fiscal Q4 2021).
- Year-over-year, Non-Current Assets has declined for 18 consecutive quarters, with an average decline of 54.9% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in fiscal Q4 2021 (growth of 46.1%), and the weakest in fiscal Q4 2024 (a decline of 94.1%).
- Business Quant data shows PURE's Non-Current Assets at $9,000 (Q2 2026), $10,000 (Q1 2026) and $11,000 (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 231.45 Bn | 213.03 Bn | 4.43 Bn | 74.17 Bn |
| 2 | Corning | 116.59 Bn | 109.15 Bn | 1.63 Bn | 22.04 Bn |
| 3 | Sherwin Williams | 82.19 Bn | 81.23 Bn | 3.34 Bn | 19.95 Bn |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | 35.48 Bn |
| 5 | LyondellBasell Industries | 40.93 Bn | 30.44 Bn | 2.04 Bn | 22.82 Bn |
| 6 | Nutrien | 33.12 Bn | 29.95 Bn | 3.25 Bn | - |
| 7 | Qnity Electronics | 25.20 Bn | 22.33 Bn | 666.00 Mn | 11.44 Bn |
| 8 | Ppg Industries | 24.54 Bn | 17.20 Bn | 1.81 Bn | 14.27 Bn |
| 9 | Ati | 24.54 Bn | 22.56 Bn | 309.80 Mn | 2.46 Bn |
| 10 | Pure Bioscience | 9.54 Mn | 7.59 Mn | 269,000.00 | 9,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 9,000.00 |
| Jan 31, 2026 | 9,000.00 |
| Oct 31, 2025 | 10,000.00 |
| Jul 31, 2025 | 11,000.00 |
| Apr 30, 2025 | 11,000.00 |
| Jan 31, 2025 | 12,000.00 |
| Oct 31, 2024 | 13,000.00 |
| Jul 31, 2024 | 13,000.00 |
| Apr 30, 2024 | 51,000.00 |
| Jan 31, 2024 | 147,000.00 |
| Oct 31, 2023 | 184,000.00 |
| Jul 31, 2023 | 221,000.00 |
| Apr 30, 2023 | 594,000.00 |
| Jan 31, 2023 | 590,000.00 |
| Oct 31, 2022 | 627,000.00 |
| Jul 31, 2022 | 620,000.00 |
| Apr 30, 2022 | 1.01 Mn |
| Jan 31, 2022 | 1.05 Mn |
| Oct 31, 2021 | 1.10 Mn |
| Jul 31, 2021 | 1.11 Mn |
API Access
Pure Bioscience Non-Current Assets 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=non-current-assets&ticker=PURE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=PURE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();