Toro (TORO) EBITDA (2022 - 2026)
Toro's EBITDA was $374,682 in Q2 2026, compared with -$134,657 a year earlier.
Analysis
Toro (TORO) EBITDA (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Toro's EBITDA was $743,154 through Jun 30, 2026; for FY2025, it came in at -$743,842.
- In earlier years, EBITDA was -$655,909 in FY2024, $11.7 million in FY2023 (+38.4%), $8.46 million in FY2022 (+164.7%) and $3.19 million in FY2021.
- The Q2 2026 figure marks the highest quarterly EBITDA since Q1 2024.
- Per Business Quant data, TORO's EBITDA in the three quarters before Q2 2026 was -$40,659 (Q1 2026), $194,968 (Q4 2025) and $214,163 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.65 Bn | 165.18 Bn | - | 3.40 Bn |
| 2 | Csx | 89.70 Bn | 85.91 Bn | - | 1.92 Bn |
| 3 | United Parcel Service | 84.71 Bn | 61.60 Bn | - | 1.91 Bn |
| 4 | Canadian Pacific Kansas City | 78.00 Bn | 77.02 Bn | - | 1.44 Bn |
| 5 | Norfolk Southern | 73.24 Bn | 67.88 Bn | - | 1.48 Bn |
| 6 | Fedex | 70.67 Bn | 36.62 Bn | - | 2.68 Bn |
| 7 | Delta Air Lines | 50.97 Bn | 33.15 Bn | - | 2.13 Bn |
| 8 | Old Dominion Freight Line | 39.24 Bn | 38.51 Bn | - | 557.01 Mn |
| 9 | United Airlines Holdings | 32.98 Bn | -23.39 Bn | - | 1.86 Bn |
| 10 | Toro | 69.58 Mn | -203.92 Mn | 4.57 Mn | 374,682.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 374,682.00 |
| Mar 31, 2026 | -40,659.00 |
| Dec 31, 2025 | 194,968.00 |
| Sep 30, 2025 | 214,163.00 |
| Jun 30, 2025 | -134,657.00 |
| Mar 31, 2025 | -319,646.00 |
| Dec 31, 2024 | -424,020.00 |
| Sep 30, 2024 | -777,028.00 |
| Jun 30, 2024 | -385,120.00 |
| Mar 31, 2024 | 973,674.00 |
| Dec 31, 2023 | 8.94 Mn |
| Sep 30, 2023 | -2.63 Mn |
| Jun 30, 2023 | 56.89 Mn |
| Mar 31, 2023 | 24.13 Mn |
| Dec 31, 2022 | 21.33 Mn |
| Sep 30, 2022 | 20.61 Mn |
| Jun 30, 2022 | 7.76 Mn |
| Mar 31, 2022 | 3.41 Mn |
API Access
Toro EBITDA 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=ebitda&ticker=TORO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=TORO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();