Pure Bioscience (PURE) Total Liabilities (2011 - 2026)
Pure Bioscience (PURE) posted Total Liabilities of $7.4 million for fiscal Q3 2026 (quarter ended Apr 30, 2026), up 26.0% from $5.87 million a year earlier and up 4.8% from the prior quarter.
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Analysis
Pure Bioscience (PURE) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Jul 31, 2025), Pure Bioscience's Total Liabilities came in at $6.17 million, up 67.7% from FY2024.
- Annual Total Liabilities has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 32.5% (FY2020 to FY2025).
- In prior fiscal years, Pure Bioscience's Total Liabilities was $3.68 million in FY2024 (+137.1%), $1.55 million in FY2023 (+170.1%), $575,000 in FY2022 (-40.7%) and $970,000 in FY2021 (-35.8%).
- The fiscal Q3 2026 figure stands as the highest quarterly Total Liabilities since fiscal Q3 2016.
- On a year-over-year basis, Total Liabilities has increased in each of the last 13 quarters, with growth averaging 73.7% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q3 2024, with growth of 438.8%; the weakest was fiscal Q3 2022, with a decline of 41.4%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $7.06 million (Q2 2026), $6.73 million (Q1 2026) and $6.17 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 231.45 Bn | 213.03 Bn | 4.43 Bn | 47.73 Bn |
| 2 | Corning | 116.59 Bn | 109.15 Bn | 1.63 Bn | 19.83 Bn |
| 3 | Sherwin Williams | 82.19 Bn | 81.23 Bn | 3.34 Bn | 23.10 Bn |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | 23.85 Bn |
| 5 | LyondellBasell Industries | 40.93 Bn | 30.44 Bn | 2.04 Bn | 23.80 Bn |
| 6 | Nutrien | 33.12 Bn | 29.95 Bn | 3.25 Bn | 27.62 Bn |
| 7 | Qnity Electronics | 25.20 Bn | 22.33 Bn | 666.00 Mn | 6.79 Bn |
| 8 | Ppg Industries | 24.54 Bn | 17.20 Bn | 1.81 Bn | 13.94 Bn |
| 9 | Ati | 24.54 Bn | 22.56 Bn | 309.80 Mn | 3.74 Bn |
| 10 | Pure Bioscience | 9.54 Mn | 7.59 Mn | 269,000.00 | 7.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 7.40 Mn |
| Jan 31, 2026 | 7.06 Mn |
| Oct 31, 2025 | 6.73 Mn |
| Jul 31, 2025 | 6.17 Mn |
| Apr 30, 2025 | 5.87 Mn |
| Jan 31, 2025 | 4.84 Mn |
| Oct 31, 2024 | 4.42 Mn |
| Jul 31, 2024 | 3.68 Mn |
| Apr 30, 2024 | 3.07 Mn |
| Jan 31, 2024 | 2.41 Mn |
| Oct 31, 2023 | 2.63 Mn |
| Jul 31, 2023 | 1.55 Mn |
| 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 |
API Access
Pure Bioscience Total 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-liabilities&ticker=PURE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=PURE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();