Bioceres Crop Solutions (BIOX) Depreciation & Amortization - Total (2018 - 2022)
Bioceres Crop Solutions' Depreciation & Amortization - Total came in at -$1.28 million for FY2023 (year ended Jun 30, 2023), compared with -$4.72 million in FY2022.
Bioceres Crop Solutions (BIOX) Depreciation & Amortization - Total (2018 - 2022) Analysis & Trends
Going back to FY2017, Bioceres Crop Solutions' Depreciation & Amortization - Total data covers 7 fiscal years.
- The FY2023 figure represents the highest annual Depreciation & Amortization - Total since FY2020.
- Per Business Quant, earlier fiscal years put Depreciation & Amortization - Total at -$4.72 million in FY2022, -$2.27 million in FY2021, $3.92 million in FY2020 and -$1.44 million in FY2019.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 231.45 Bn | 213.03 Bn | 4.43 Bn | - |
| 2 | Corning | 116.59 Bn | 109.15 Bn | 1.63 Bn | - |
| 3 | Sherwin Williams | 82.19 Bn | 81.23 Bn | 3.34 Bn | - |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | - |
| 5 | LyondellBasell Industries | 40.93 Bn | 30.44 Bn | 2.04 Bn | - |
| 6 | Nutrien | 33.12 Bn | 29.95 Bn | 3.25 Bn | - |
| 7 | Qnity Electronics | 25.20 Bn | 22.33 Bn | 666.00 Mn | - |
| 8 | Ppg Industries | 24.54 Bn | 17.20 Bn | 1.81 Bn | 108.00 Mn |
| 9 | Ati | 24.54 Bn | 22.56 Bn | 309.80 Mn | - |
| 10 | Bioceres Crop Solutions | 15.21 Mn | -448.37 Mn | 12.70 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2022 | 222,819.00 |
| Dec 31, 2021 | -1.25 Bn |
| Dec 31, 2020 | -213,810.00 |
| Sep 30, 2020 | 108,200.00 |
| Mar 31, 2020 | -58,116.00 |
| Dec 31, 2019 | -1.36 Mn |
| Sep 30, 2019 | 3.74 Mn |
| Jun 30, 2019 | -792,171.00 |
| Mar 31, 2019 | -828,367.00 |
| Dec 31, 2018 | -2.07 Mn |
| Sep 30, 2018 | 2.25 Mn |
Bioceres Crop Solutions Depreciation & Amortization - Total 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=depreciation-and-amortization-total&ticker=BIOX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "ticker": "BIOX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=depreciation-and-amortization-total&ticker=BIOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();