Cosan (CSANY) Change in Accured Expenses (2021 - 2023)
Cosan's Change in Accured Expenses came in at -$60.49 million for Q2 2023, compared with -$41 million a year earlier.
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Analysis
Cosan (CSANY) Change in Accured Expenses (2021 - 2023) Analysis & Trends
Over the trailing twelve months to Sep 30, 2023, Cosan reported Change in Accured Expenses of -$224.15 million; for FY2022, it came in at -$48.37 million.
- Going back by year, Change in Accured Expenses was -$26.64 million in FY2021.
- The five-year range for quarterly Change in Accured Expenses is -$62.43 million (Q1 2023) to -$25.72 million (Q4 2021).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 744.22 Bn | 700.71 Bn | - | - |
| 2 | Chevron | 442.27 Bn | 414.39 Bn | 33.45 Bn | - |
| 3 | Shell | 308.83 Bn | 238.57 Bn | 30.13 Bn | - |
| 4 | TotalEnergies SE | 197.25 Bn | 77.83 Bn | 61.77 Bn | - |
| 5 | Conocophillips | 176.36 Bn | 149.07 Bn | 12.81 Bn | - |
| 6 | Equinor Asa | 119.62 Bn | 34.07 Bn | - | - |
| 7 | Phillips 66 | 116.49 Bn | 104.28 Bn | 8.38 Bn | - |
| 8 | Canadian Natural Resources | 113.27 Bn | 110.27 Bn | 8.84 Bn | - |
| 9 | Suncor Energy | 95.51 Bn | 81.26 Bn | - | - |
| 10 | Cosan | 2.49 Bn | -8.55 Bn | 796.01 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | -60.49 Mn |
| Jun 30, 2023 | -62.43 Mn |
| Mar 31, 2023 | -53.84 Mn |
| Dec 31, 2022 | -47.38 Mn |
| Sep 30, 2022 | -41.00 Mn |
| Jun 30, 2022 | -49.11 Mn |
| Mar 31, 2022 | -41.24 Mn |
| Dec 31, 2021 | -25.72 Mn |
API Access
Cosan Change in Accured 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=change-in-accured-expenses&ticker=CSANY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "CSANY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=CSANY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();