Brazil Potash (GRO) Change in Accured Expenses (2024 - 2026)
Brazil Potash's Change in Accured Expenses came in at $33,944 for Q2 2026, down 76.8% from $146,166 a year earlier.
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Analysis
Brazil Potash (GRO) Change in Accured Expenses (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Brazil Potash reported Change in Accured Expenses of -$1.4 million; for FY2025, it was -$415,814.
- Going back by year, Change in Accured Expenses was $1.33 million in FY2024 (+134.7%), $565,410 in FY2023 and -$860,869 in FY2022.
- The five-year range for quarterly Change in Accured Expenses is -$2.04 million (Q4 2024) to $1.69 million (Q3 2024).
- Business Quant data shows GRO's Change in Accured Expenses at -$972,698 (Q1 2026), $1.04 million (Q4 2025) and -$1.5 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn | 56.00 Mn |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn | 275.00 Mn |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn | - |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn | 43.80 Mn |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn | - |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn | 122.00 Mn |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn | 110.00 Mn |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn | - |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn | 272.00 Mn |
| 10 | Brazil Potash | 90.51 Mn | -44.80 Mn | - | 33,944.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33,944.00 |
| Mar 31, 2026 | -972,698.00 |
| Dec 31, 2025 | 1.04 Mn |
| Sep 30, 2025 | -1.50 Mn |
| Jun 30, 2025 | 146,166.00 |
| Mar 31, 2025 | -99,613.00 |
| Dec 31, 2024 | -2.04 Mn |
| Sep 30, 2024 | 1.69 Mn |
| Jun 30, 2024 | 1.56 Mn |
| Mar 31, 2024 | 116,649.00 |
API Access
Brazil Potash 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=GRO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "GRO", "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=GRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();