Pyxus International (PYYX) Land & Improvements (2020 - 2022)
Pyxus International's Land & Improvements came in at $33.56 million for fiscal Q4 2022 (quarter ended Mar 31, 2022), unchanged from $33.56 million a year earlier and unchanged from the prior quarter.
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Analysis
Pyxus International (PYYX) Land & Improvements (2020 - 2022) Analysis & Trends
Going back to fiscal Q4 2021, Pyxus International's Land & Improvements data covers 5 quarters.
- Going back by fiscal year, Land & Improvements was $33.56 million in FY2021.
- Business Quant data shows PYYX's Land & Improvements at $33.56 million (Q3 2022), $33.56 million (Q2 2022) and $33.56 million (Q1 2022) in the three fiscal quarters before Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 34.69 Bn | 31.46 Bn | 1.89 Bn | 603.00 Mn |
| 2 | Tyson Foods | 20.70 Bn | 17.06 Bn | 921.00 Mn | - |
| 3 | Bunge Global | 19.53 Bn | 17.95 Bn | 1.33 Bn | - |
| 4 | Jbs | 13.49 Bn | -2.10 Bn | 2.41 Bn | - |
| 5 | Darling Ingredients | 8.67 Bn | 8.25 Bn | 477.54 Mn | - |
| 6 | Smithfield Foods | 7.56 Bn | 2.38 Bn | 313.00 Mn | - |
| 7 | Pilgrims Pride | 6.70 Bn | 4.20 Bn | 333.67 Mn | - |
| 8 | Ingredion | 5.86 Bn | 1.97 Bn | 399.00 Mn | - |
| 9 | Scotts Miracle-Gro | 3.71 Bn | 3.71 Bn | - | - |
| 10 | Pyxus International | 62.01 Mn | -468.26 Mn | 78.91 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2022 | 33.56 Mn |
| Dec 31, 2021 | 33.56 Mn |
| Sep 30, 2021 | 33.56 Mn |
| Jun 30, 2021 | 33.56 Mn |
| Mar 31, 2021 | 33.56 Mn |
| Dec 31, 2020 | 33.56 Mn |
| Sep 30, 2020 | 33.56 Mn |
API Access
Pyxus International Land & Improvements 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=land-and-improvements&ticker=PYYX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "PYYX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=land-and-improvements&ticker=PYYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();