Toro (TORO) Total Liabilities (2021 - 2026)
Toro (TORO) reported Total Liabilities of $130.67 million for the quarter ended Mar 31, 2026, up 0.9% from $129.48 million a year earlier but down 22.1% from the prior quarter.
Toro (TORO) Total Liabilities (2021 - 2026) Analysis & Trends
As of Dec 31, 2025, Toro posted Total Liabilities of $167.75 million, up 31.7% from the prior year.
- Total Liabilities has a four-year compound annual growth rate of 70.1% (years ended Dec 2021 to Dec 2025).
- By year, Total Liabilities came in at $127.36 million in the year ended Dec 31, 2024 (-3.0%), $131.36 million in the year ended Dec 31, 2023 (+673.5%), $16.98 million in the year ended Dec 31, 2022 (-15.2%) and $20.02 million in the year ended Dec 31, 2021.
- Five-year quarterly Total Liabilities spans a low of $16.98 million in the quarter ended Dec 31, 2022 and a high of $167.75 million in the quarter ended Dec 31, 2025.
- Year over year, Total Liabilities has now increased in each of the last five quarters, with growth averaging 3.8% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was the quarter ended Dec 31, 2023 (growth of 673.5%); the low point was the quarter ended Dec 31, 2022 (a decline of 15.2%).
- Per Business Quant data, the three quarters before the quarter ended Mar 31, 2026 came in at $167.75 million (quarter ended Dec 31, 2025), $130.87 million (quarter ended Sep 30, 2025) and $130.33 million (quarter ended Jun 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 50.54 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 30.64 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 30.13 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 56.17 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 28.87 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 67.29 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 64.51 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 1.19 Bn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 10.09 Bn |
| 10 | Toro | 93.72 Mn | 93.72 Mn | - | 130.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 130.67 Mn |
| Dec 31, 2025 | 167.75 Mn |
| Sep 30, 2025 | 130.87 Mn |
| Jun 30, 2025 | 130.33 Mn |
| Mar 31, 2025 | 129.48 Mn |
| Dec 31, 2024 | 127.36 Mn |
| Sep 30, 2024 | 127.19 Mn |
| Jun 30, 2024 | 126.74 Mn |
| Mar 31, 2024 | 125.67 Mn |
| Dec 31, 2023 | 131.36 Mn |
| Sep 30, 2023 | 131.75 Mn |
| Jun 30, 2023 | 132.67 Mn |
| Mar 31, 2023 | 135.99 Mn |
| Dec 31, 2022 | 16.98 Mn |
| Dec 31, 2021 | 20.02 Mn |
Toro Total Liabilities 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=total-liabilities&ticker=TORO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=TORO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();