Tejon Ranch (TRC) EV to EBITDA (2011 - 2026)
Tejon Ranch's (TRC) EV to EBITDA stood at 80.81 in Q2 2026, down 75.1% from the prior quarter.
Analysis
Tejon Ranch (TRC) EV to EBITDA (2011 - 2026) Analysis & Trends
On a TTM basis, Tejon Ranch's EV to EBITDA came in at 70.36 as of Jun 30, 2026; for FY2023, it came in at 371.59.
- Across earlier years, EV to EBITDA came in at 24.12 in FY2022 (-77.8%), 108.89 in FY2021 and 101.58 in FY2019 (+62.5%).
- The Q2 2026 figure is the lowest quarterly EV to EBITDA since Q2 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.31 Bn | 22.14 Bn | - |
| 2 | Eason Technology | 6.61 Bn | 6.61 Bn | - |
| 3 | LandBridge | 6.20 Bn | 6.54 Bn | 65.71 Mn |
| 4 | Millrose Properties | 4.06 Bn | 4.06 Bn | - |
| 5 | St Joe | 3.76 Bn | 3.26 Bn | 73.42 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.89 Bn | 2.89 Bn | - |
| 7 | Opendoor Technologies | 2.35 Bn | -1.47 Bn | 86.00 Mn |
| 8 | Forestar | 1.34 Bn | -3.23 Mn | 84.10 Mn |
| 9 | Five Point Holdings | 705.60 Mn | 734.37 Mn | -23.72 Mn |
| 10 | Tejon Ranch | 443.42 Mn | 378.40 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 80.81 |
| Mar 31, 2026 | 324.66 |
| Dec 31, 2023 | 371.59 |
| Sep 30, 2023 | 134.91 |
| Jun 30, 2023 | 29.14 |
| Mar 31, 2023 | 31.33 |
| Dec 31, 2022 | 24.12 |
| Sep 30, 2022 | 18.74 |
| Jun 30, 2022 | 64.85 |
| Mar 31, 2022 | 41.74 |
| Dec 31, 2021 | 108.89 |
| Sep 30, 2021 | 121.89 |
| Jun 30, 2021 | 92.53 |
| Sep 30, 2020 | 105.05 |
| Jun 30, 2020 | 224.63 |
| Mar 31, 2020 | 110.09 |
| Dec 31, 2019 | 101.58 |
| Jun 30, 2019 | 93.25 |
| Mar 31, 2019 | 122.74 |
| Dec 31, 2018 | 62.51 |
API Access
Tejon Ranch EV to 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=ev-to-ebitda&ticker=TRC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "TRC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-ebitda&ticker=TRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();