Pure Bioscience (PURE) EBITDA (2010 - 2025)
Pure Bioscience's EBITDA came in at -$378,000 for fiscal Q1 2026 (quarter ended Oct 31, 2025).
Pure Bioscience (PURE) EBITDA (2010 - 2025) Analysis & Trends
Over the trailing twelve months to Oct 31, 2025, Pure Bioscience reported EBITDA of -$2.16 million; for FY2025 (ended Jul 31, 2025), it was -$2.27 million.
- Going back by fiscal year, EBITDA was -$3.04 million in FY2024, -$3.83 million in FY2023, -$3.51 million in FY2022 and -$2.14 million in FY2021.
- The fiscal Q1 2026 figure represents the lowest quarterly EBITDA since fiscal Q4 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 231.45 Bn | 213.03 Bn | 4.43 Bn | 3.52 Bn |
| 2 | Corning | 116.59 Bn | 109.15 Bn | 1.63 Bn | 1.09 Bn |
| 3 | Sherwin Williams | 82.19 Bn | 81.23 Bn | 3.34 Bn | 1.42 Bn |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | -1.71 Bn |
| 5 | LyondellBasell Industries | 40.93 Bn | 30.44 Bn | 2.04 Bn | 1.89 Bn |
| 6 | Nutrien | 33.12 Bn | 29.95 Bn | 3.25 Bn | 2.38 Bn |
| 7 | Qnity Electronics | 25.20 Bn | 22.33 Bn | 666.00 Mn | 465.00 Mn |
| 8 | Ppg Industries | 24.54 Bn | 17.20 Bn | 1.81 Bn | 796.00 Mn |
| 9 | Ati | 24.54 Bn | 22.56 Bn | 309.80 Mn | 264.00 Mn |
| 10 | Pure Bioscience | 9.54 Mn | 7.59 Mn | 269,000.00 | - |
Historic Data
| Date | Value |
|---|---|
| Oct 31, 2025 | -378,000.00 |
| Jul 31, 2025 | -336,000.00 |
| Jul 31, 2024 | -661,000.00 |
| Apr 30, 2024 | -781,000.00 |
| Jan 31, 2024 | -927,000.00 |
| Oct 31, 2023 | -674,000.00 |
| Jul 31, 2023 | -1.01 Mn |
| Apr 30, 2023 | -840,000.00 |
| Jan 31, 2023 | -1.02 Mn |
| Oct 31, 2022 | -956,000.00 |
| Jul 31, 2022 | -1.18 Mn |
| Apr 30, 2022 | -707,000.00 |
| Jan 31, 2022 | -888,000.00 |
| Oct 31, 2021 | -737,000.00 |
| Jul 31, 2021 | -689,000.00 |
| Apr 30, 2021 | -767,000.00 |
| Jan 31, 2021 | -549,000.00 |
| Oct 31, 2020 | -134,000.00 |
| Jul 31, 2020 | 1.37 Mn |
| Apr 30, 2020 | 519,000.00 |
Pure Bioscience EBITDA 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=ebitda&ticker=PURE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=PURE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();