Toro (TORO) Price to Earnings (2023 - 2026)
Toro's Price to Earnings came in at 194.89 for the quarter ended Mar 31, 2026, down 33.5% from 292.96 a year earlier but up 195.1% from the prior quarter.
Toro (TORO) Price to Earnings (2023 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Toro's Price to Earnings was 10.40, up 301.8% from the prior year.
- Going back by year, Price to Earnings was 2.59 in the year ended Dec 31, 2024 (+367.0%) and 0.55 in the year ended Dec 31, 2023.
- The five-year range for quarterly Price to Earnings is 0.30 (the quarter ended Jun 30, 2023) to 292.96 (the quarter ended Mar 31, 2025).
- Year-over-year, Price to Earnings increased in three of the last four quarters, with growth averaging 163.4%.
- Business Quant data shows TORO's Price to Earnings at 66.05 (quarter ended Dec 31, 2025), 84.10 (quarter ended Sep 30, 2025) and 96.05 (quarter ended Jun 30, 2025) in the three quarters before the quarter ended Mar 31, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - |
| 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 | - |
| 6 | Fedex | 68.71 Bn | 34.65 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 | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 194.89 |
| Dec 31, 2025 | 66.05 |
| Sep 30, 2025 | 84.10 |
| Jun 30, 2025 | 96.05 |
| Mar 31, 2025 | 292.96 |
| Dec 31, 2024 | 2.59 |
| Sep 30, 2024 | 1.11 |
| Jun 30, 2024 | 0.75 |
| Mar 31, 2024 | 0.61 |
| Dec 31, 2023 | 0.55 |
| Sep 30, 2023 | 0.41 |
| Jun 30, 2023 | 0.30 |
| Mar 31, 2023 | 0.36 |
Toro Price to Earnings 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=price-to-earnings&ticker=TORO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=TORO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();