Pure Bioscience (PURE) Non Operating Interest Expenses (2012 - 2026)
Pure Bioscience (PURE) recorded Non Operating Interest Expenses of $106,000 in fiscal Q3 2026 (quarter ended Apr 30, 2026), up 35.9% from $78,000 a year earlier and up 5.0% from the prior quarter.
Powered by 
Analysis
Pure Bioscience (PURE) Non Operating Interest Expenses (2012 - 2026) Analysis & Trends
On a TTM basis, Pure Bioscience's Non Operating Interest Expenses came in at $390,000 as of Apr 30, 2026, up 48.9% year-over-year; for FY2025 (ended Jul 31, 2025), it came in at $299,000, up 92.9% from FY2024.
- Annual Non Operating Interest Expenses has a five-year compound annual growth rate of 126.6% (FY2020 to FY2025).
- Across earlier fiscal years, Non Operating Interest Expenses came in at $155,000 in FY2024, $14,000 in FY2023 (+133.3%), $6,000 in FY2022 (+50.0%) and $4,000 in FY2021 (-20.0%).
- The fiscal Q3 2026 figure is the highest quarterly Non Operating Interest Expenses since fiscal Q1 2013.
- On a year-over-year basis, Non Operating Interest Expenses has increased for eight consecutive quarters, with growth averaging 135.7% over the last eight quarters.
- Across the past five years, year-over-year growth in Non Operating Interest Expenses ran from 0.0% in fiscal Q4 2021 to 550.0% in fiscal Q4 2024.
- Per Business Quant, the preceding three fiscal quarters came in at $101,000 (Q2 2026), $94,000 (Q1 2026) and $89,000 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 231.45 Bn | 213.03 Bn | 4.43 Bn | 61.00 Mn |
| 2 | Corning | 116.59 Bn | 109.15 Bn | 1.63 Bn | 94.00 Mn |
| 3 | Sherwin Williams | 82.19 Bn | 81.23 Bn | 3.34 Bn | 135.90 Mn |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | 49.40 Mn |
| 5 | LyondellBasell Industries | 40.93 Bn | 30.44 Bn | 2.04 Bn | 138.00 Mn |
| 6 | Nutrien | 33.12 Bn | 29.95 Bn | 3.25 Bn | 173.00 Mn |
| 7 | Qnity Electronics | 25.20 Bn | 22.33 Bn | 666.00 Mn | 61.00 Mn |
| 8 | Ppg Industries | 24.54 Bn | 17.20 Bn | 1.81 Bn | 71.00 Mn |
| 9 | Ati | 24.54 Bn | 22.56 Bn | 309.80 Mn | - |
| 10 | Pure Bioscience | 9.54 Mn | 7.59 Mn | 269,000.00 | 106,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 106,000.00 |
| Jan 31, 2026 | 101,000.00 |
| Oct 31, 2025 | 94,000.00 |
| Jul 31, 2025 | 89,000.00 |
| Apr 30, 2025 | 78,000.00 |
| Jan 31, 2025 | 70,000.00 |
| Oct 31, 2024 | 62,000.00 |
| Jul 31, 2024 | 52,000.00 |
| Apr 30, 2024 | 41,000.00 |
| Jan 31, 2024 | 38,000.00 |
| Oct 31, 2023 | 24,000.00 |
| Jul 31, 2023 | 8,000.00 |
| Apr 30, 2023 | 2,000.00 |
| Jan 31, 2023 | 2,000.00 |
| Oct 31, 2022 | 2,000.00 |
| Jul 31, 2022 | 3,000.00 |
| Apr 30, 2022 | 1,000.00 |
| Jan 31, 2022 | 1,000.00 |
| Oct 31, 2021 | 1,000.00 |
| Jul 31, 2021 | 1,000.00 |
API Access
Pure Bioscience Non Operating Interest 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=non-operating-interest-expenses&ticker=PURE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=PURE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();