Pure Bioscience (PURE) Total Current Liabilities (2011 - 2026)
Pure Bioscience (PURE) recorded Total Current Liabilities of $3.65 million in fiscal Q3 2026 (quarter ended Apr 30, 2026), up 275.9% from $972,000 a year earlier and up 19.6% from the prior quarter.
Pure Bioscience (PURE) Total Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Jul 31, 2025), Pure Bioscience reported Total Current Liabilities of $938,000, up 28.0% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of -9.1% (FY2020 to FY2025).
- Across earlier fiscal years, Total Current Liabilities came in at $733,000 in FY2024 (+37.8%), $532,000 in FY2023 (-7.5%), $575,000 in FY2022 (-40.7%) and $970,000 in FY2021 (-35.8%).
- The fiscal Q3 2026 figure is the highest quarterly Total Current Liabilities since fiscal Q3 2016.
- On a year-over-year basis, Total Current Liabilities has increased for 11 consecutive quarters, with growth averaging 119.9% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 275.9% in fiscal Q3 2026, against a decline of 41.4% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $3.06 million (Q2 2026), $3.16 million (Q1 2026) and $938,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 231.45 Bn | 213.03 Bn | 4.43 Bn | 16.13 Bn |
| 2 | Corning | 116.59 Bn | 109.15 Bn | 1.63 Bn | 6.02 Bn |
| 3 | Sherwin Williams | 82.19 Bn | 81.23 Bn | 3.34 Bn | 9.63 Bn |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | 4.58 Bn |
| 5 | LyondellBasell Industries | 40.93 Bn | 30.44 Bn | 2.04 Bn | 7.11 Bn |
| 6 | Nutrien | 33.12 Bn | 29.95 Bn | 3.25 Bn | - |
| 7 | Qnity Electronics | 25.20 Bn | 22.33 Bn | 666.00 Mn | 1.44 Bn |
| 8 | Ppg Industries | 24.54 Bn | 17.20 Bn | 1.81 Bn | 5.23 Bn |
| 9 | Ati | 24.54 Bn | 22.56 Bn | 309.80 Mn | 1.41 Bn |
| 10 | Pure Bioscience | 9.54 Mn | 7.59 Mn | 269,000.00 | 3.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 3.65 Mn |
| Jan 31, 2026 | 3.06 Mn |
| Oct 31, 2025 | 3.16 Mn |
| Jul 31, 2025 | 938,000.00 |
| Apr 30, 2025 | 972,000.00 |
| Jan 31, 2025 | 866,000.00 |
| Oct 31, 2024 | 911,000.00 |
| Jul 31, 2024 | 733,000.00 |
| Apr 30, 2024 | 666,000.00 |
| Jan 31, 2024 | 545,000.00 |
| Oct 31, 2023 | 806,000.00 |
| Jul 31, 2023 | 532,000.00 |
| Apr 30, 2023 | 569,000.00 |
| Jan 31, 2023 | 463,000.00 |
| Oct 31, 2022 | 699,000.00 |
| Jul 31, 2022 | 575,000.00 |
| Apr 30, 2022 | 550,000.00 |
| Jan 31, 2022 | 584,000.00 |
| Oct 31, 2021 | 828,000.00 |
| Jul 31, 2021 | 970,000.00 |
Pure Bioscience Total Current Liabilities 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=total-current-liabilities&ticker=PURE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=PURE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();