Pure Bioscience (PURE) Change in Accured Expenses (2010 - 2026)
Pure Bioscience's Change in Accured Expenses was $102,000 in fiscal Q3 2026 (quarter ended Apr 30, 2026), down 3.8% from $106,000 a year earlier but up 41.7% from the prior quarter.
Pure Bioscience (PURE) Change in Accured Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Pure Bioscience's Change in Accured Expenses was $339,000 through Apr 30, 2026, up 10.8% year-over-year; for FY2025 (ended Jul 31, 2025), it was $287,000, up 42.8% from FY2024.
- Change in Accured Expenses shows a five-year compound annual growth rate of -18.0% (FY2020 to FY2025).
- In earlier fiscal years, Change in Accured Expenses was $201,000 in FY2024, -$43,000 in FY2023, -$156,000 in FY2022 and -$781,000 in FY2021.
- Quarterly Change in Accured Expenses has moved between -$236,000 (fiscal Q2 2023) and $274,000 (fiscal Q1 2024) over five years.
- Compared with a year earlier, Change in Accured Expenses was higher in 1 of the last five quarters, with an average decline of 13.1%.
- The best year-over-year quarter for Change in Accured Expenses over five years was fiscal Q1 2024 (growth of 121.0%); the worst was fiscal Q1 2025 (a decline of 35.0%).
- Per Business Quant data, PURE's Change in Accured Expenses in the three fiscal quarters before Q3 2026 was $72,000 (Q2 2026), $117,000 (Q1 2026) and $48,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 234.86 Bn | 216.43 Bn | 4.43 Bn | 56.00 Mn |
| 2 | Corning | 107.95 Bn | 100.52 Bn | 1.63 Bn | 275.00 Mn |
| 3 | Sherwin Williams | 82.60 Bn | 81.64 Bn | 3.34 Bn | - |
| 4 | Air Products & Chemicals | 68.36 Bn | 63.54 Bn | 1.04 Bn | 43.80 Mn |
| 5 | LyondellBasell Industries | 42.75 Bn | 32.26 Bn | 2.04 Bn | - |
| 6 | Nutrien | 33.77 Bn | 30.60 Bn | 3.25 Bn | 122.00 Mn |
| 7 | Ppg Industries | 24.66 Bn | 17.32 Bn | 1.81 Bn | 272.00 Mn |
| 8 | International Flavors & Fragrances | 23.97 Bn | 21.63 Bn | 853.00 Mn | 77.00 Mn |
| 9 | Dow | 23.52 Bn | 7.01 Bn | 2.17 Bn | - |
| 10 | Pure Bioscience | 7.70 Mn | 5.75 Mn | 269,000.00 | 102,000.00 |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 102,000.00 |
| Jan 31, 2026 | 72,000.00 |
| Oct 31, 2025 | 117,000.00 |
| Jul 31, 2025 | 48,000.00 |
| Apr 30, 2025 | 106,000.00 |
| Jan 31, 2025 | -45,000.00 |
| Oct 31, 2024 | 178,000.00 |
| Jul 31, 2024 | 67,000.00 |
| Apr 30, 2024 | 78,000.00 |
| Jan 31, 2024 | -218,000.00 |
| Oct 31, 2023 | 274,000.00 |
| Jul 31, 2023 | -37,000.00 |
| Apr 30, 2023 | 106,000.00 |
| Jan 31, 2023 | -236,000.00 |
| Oct 31, 2022 | 124,000.00 |
| Jul 31, 2022 | 25,000.00 |
| Apr 30, 2022 | -34,000.00 |
| Jan 31, 2022 | -5,000.00 |
| Oct 31, 2021 | -142,000.00 |
| Jul 31, 2021 | 32,000.00 |
Pure Bioscience Change in Accured Expenses 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=change-in-accured-expenses&ticker=PURE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=PURE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();