Pure Bioscience (PURE) Asset Writedowns and Impairment (2018 - 2023)
Pure Bioscience (PURE) reported Asset Writedowns and Impairment of $60,000 for FY2024 (year ended Jul 31, 2024), down 81.0% from $315,000 in FY2023.
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Analysis
Pure Bioscience (PURE) Asset Writedowns and Impairment (2018 - 2023) Analysis & Trends
Dating back to FY2013, Pure Bioscience's Asset Writedowns and Impairment record includes 8 fiscal years.
- Asset Writedowns and Impairment has a three-year compound annual growth rate of -26.3% (FY2021 to FY2024).
- The FY2024 figure ranks as the lowest annual Asset Writedowns and Impairment since FY2018.
- According to Business Quant data, Asset Writedowns and Impairment came in at $315,000 in FY2023 (+5.4%), $299,000 in FY2022 (+99.3%) and $150,000 in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 235.23 Bn | 216.81 Bn | 4.43 Bn |
| 2 | Corning | 106.66 Bn | 99.22 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 82.20 Bn | 81.24 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 68.45 Bn | 63.64 Bn | 1.04 Bn |
| 5 | LyondellBasell Industries | 42.89 Bn | 32.40 Bn | 2.04 Bn |
| 6 | Nutrien | 33.91 Bn | 30.74 Bn | 3.25 Bn |
| 7 | Ppg Industries | 24.62 Bn | 17.28 Bn | 1.81 Bn |
| 8 | International Flavors & Fragrances | 23.96 Bn | 21.62 Bn | 853.00 Mn |
| 9 | Dow | 23.51 Bn | 7.01 Bn | 2.17 Bn |
| 10 | Pure Bioscience | 8.86 Mn | 6.91 Mn | 269,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2023 | 275,000.00 |
| Jul 31, 2018 | 77,000.00 |
| Apr 30, 2018 | -45,000.00 |
API Access
Pure Bioscience Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=PURE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=PURE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();