Toro (TORO) Change in Accured Expenses (2022 - 2026)
Toro's Change in Accured Expenses was $93,305 in the quarter ended Mar 31, 2026, down 79.1% from $447,457 a year earlier.
Powered by 
Analysis
Toro (TORO) Change in Accured Expenses (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Toro's Change in Accured Expenses was -$176,907 through Mar 31, 2026; for the year ended Dec 31, 2025, it came in at $177,245, down 68.4% from the prior year.
- Change in Accured Expenses shows a four-year compound annual growth rate of -97.5% (years ended Dec 2021 to Dec 2025).
- In earlier years, Change in Accured Expenses was $560,154 in the year ended Dec 31, 2024 (+65.4%), $338,695 in the year ended Dec 31, 2023 and $474.62 billion in the year ended Dec 31, 2021.
- Quarterly Change in Accured Expenses has moved between -$1.63 million (the quarter ended Dec 31, 2022) and $1.08 million (the quarter ended Sep 30, 2022) over five years.
- Per Business Quant data, TORO's Change in Accured Expenses in the three quarters before the quarter ended Mar 31, 2026 was -$261,189 (quarter ended Dec 31, 2025), -$63,565 (quarter ended Sep 30, 2025) and $54,542 (quarter ended Jun 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 187.00 Mn |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | - |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | - |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 147.00 Mn |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 1.21 Bn |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | - |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | - |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | - |
| 10 | Toro | 96.23 Mn | 96.23 Mn | - | 93,305.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 93,305.00 |
| Dec 31, 2025 | -261,189.00 |
| Sep 30, 2025 | -63,565.00 |
| Jun 30, 2025 | 54,542.00 |
| Mar 31, 2025 | 447,457.00 |
| Dec 31, 2024 | 253,790.00 |
| Sep 30, 2024 | 82,481.00 |
| Jun 30, 2024 | -273,223.00 |
| Mar 31, 2024 | 497,106.00 |
| Dec 31, 2023 | -392,859.00 |
| Sep 30, 2023 | -19,635.00 |
| Jun 30, 2023 | 257,404.00 |
| Mar 31, 2023 | 493,785.00 |
| Dec 31, 2022 | -1.63 Mn |
| Sep 30, 2022 | 1.08 Mn |
| Jun 30, 2022 | 137,749.00 |
| Mar 31, 2022 | 412,943.00 |
API Access
Toro 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=TORO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "TORO", "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=TORO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();