Toro (TORO) Receivables - Net (2021 - 2025)
Toro's Receivables - Net came in at $69,900 for the quarter ended Dec 31, 2025, down 83.2% from $416,300 a year earlier.
Analysis
Toro (TORO) Receivables - Net (2021 - 2025) Analysis & Trends
Going back to the quarter ended Dec 31, 2021, Toro's Receivables - Net data covers 11 quarters.
- Receivables - Net has declined in each of the last three years, with a four-year compound annual growth rate of -63.9% (years ended Dec 2021 to Dec 2025).
- Going back by year, Receivables - Net was $416,300 in the year ended Dec 31, 2024 (-70.3%), $1.4 million in the year ended Dec 31, 2023 (-86.8%), $10.62 million in the year ended Dec 31, 2022 (+158.8%) and $4.1 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Dec 31, 2025 represents the lowest quarterly Receivables - Net in data going back to the quarter ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn |
| 10 | Toro | 93.72 Mn | 93.72 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 69,900.00 |
| Dec 31, 2024 | 416,300.00 |
| Sep 30, 2024 | 536,550.00 |
| Jun 30, 2024 | 661,199.00 |
| Mar 31, 2024 | 2.24 Mn |
| Dec 31, 2023 | 1.40 Mn |
| Sep 30, 2023 | 4.95 Mn |
| Jun 30, 2023 | 4.80 Mn |
| Mar 31, 2023 | 5.95 Mn |
| Dec 31, 2022 | 10.62 Mn |
| Dec 31, 2021 | 4.10 Mn |
API Access
Toro Receivables - Net 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=receivables-net&ticker=TORO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=TORO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();