Toro (TORO) Operating Expenses (2022 - 2024)
Toro (TORO) recorded Operating Expenses of -$25.73 million in FY2025, compared with -$27.95 million in FY2024.
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Analysis
Toro (TORO) Operating Expenses (2022 - 2024) Analysis & Trends
Starting with FY2021, Toro's Operating Expenses history includes 5 years.
- Annual Operating Expenses has ranged from -$30 million in FY2021 to -$8.71 million in FY2022 over the past five years.
- Per Business Quant data, TORO's Operating Expenses was -$27.95 million in FY2024, -$14.1 million in FY2023, -$8.71 million in FY2022 and -$30 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.80 Bn | 165.33 Bn | - | 4.10 Bn |
| 2 | Csx | 89.17 Bn | 85.38 Bn | - | 2.43 Bn |
| 3 | United Parcel Service | 83.81 Bn | 60.70 Bn | - | 21.90 Bn |
| 4 | Canadian Pacific Kansas City | 77.31 Bn | 76.33 Bn | - | 1.95 Bn |
| 5 | Norfolk Southern | 73.23 Bn | 67.87 Bn | - | 2.34 Bn |
| 6 | Fedex | 70.82 Bn | 36.77 Bn | - | 23.46 Bn |
| 7 | Delta Air Lines | 50.27 Bn | 32.46 Bn | - | 18.73 Bn |
| 8 | Old Dominion Freight Line | 39.09 Bn | 38.36 Bn | - | 1.09 Bn |
| 9 | United Airlines Holdings | 31.83 Bn | -24.55 Bn | - | 16.58 Bn |
| 10 | Toro | 70.92 Mn | -202.57 Mn | 4.57 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 48.94 Mn |
| Sep 30, 2024 | -34.61 Mn |
| Jun 30, 2024 | 1.09 Mn |
| Mar 31, 2024 | 12.53 Mn |
| Dec 31, 2023 | 28.67 Mn |
| Sep 30, 2023 | 6.53 Mn |
| Jun 30, 2023 | -11.99 Mn |
| Mar 31, 2023 | -9.11 Mn |
| Dec 31, 2022 | 56.31 Mn |
| Sep 30, 2022 | -82.68 Mn |
| Jun 30, 2022 | 50.34 Mn |
| Mar 31, 2022 | -15.26 Mn |
API Access
Toro Operating 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=operating-expenses&ticker=TORO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=TORO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();