Tejon Ranch (TRC) Total Liabilities (2010 - 2026)
Tejon Ranch's Total Liabilities was $146.63 million in Q2 2026, up 11.4% from $131.65 million a year earlier and up 1.6% from the prior quarter.
Tejon Ranch (TRC) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Tejon Ranch came in at $139.91 million, up 17.5% from FY2024.
- Total Liabilities has now increased for three consecutive years, with a five-year compound annual growth rate of 9.0% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $119.04 million in FY2024 (+26.1%), $94.43 million in FY2023 (+5.9%), $89.2 million in FY2022 (-0.4%) and $89.53 million in FY2021 (-1.6%).
- The Q2 2026 figure marks the highest quarterly Total Liabilities in data going back to Q4 2010.
- Compared with a year earlier, Total Liabilities has increased for 14 straight quarters, with growth averaging 19.9% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q1 2025 (growth of 28.1%); the worst was Q2 2022 (a decline of 6.3%).
- Per Business Quant data, TRC's Total Liabilities in the three quarters before Q2 2026 was $144.3 million (Q1 2026), $139.91 million (Q4 2025) and $141 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 19.20 Bn | 18.19 Bn | - | 185.94 Mn |
| 2 | Howard Hughes Holdings | 5.05 Bn | -3.83 Bn | 435.75 Mn | 12.24 Bn |
| 3 | Millrose Properties | 4.42 Bn | 4.24 Bn | - | 4.70 Bn |
| 4 | St Joe | 4.28 Bn | 3.78 Bn | 80.65 Mn | 724.80 Mn |
| 5 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.25 Bn | 2.06 Bn | - | 1.55 Bn |
| 6 | LandBridge | 1.83 Bn | 1.70 Bn | 65.71 Mn | 545.46 Mn |
| 7 | Opendoor Technologies | 1.33 Bn | -2.44 Bn | 38.00 Mn | 3.15 Bn |
| 8 | Forestar | 1.23 Bn | -117.25 Mn | 84.10 Mn | 1.36 Bn |
| 9 | Tejon Ranch | 482.31 Mn | 414.19 Mn | - | 150.49 Mn |
| 10 | Frp Holdings | 377.27 Mn | -71.77 Mn | - | 307.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 150.49 Mn |
| Jun 30, 2026 | 146.63 Mn |
| Mar 31, 2026 | 144.30 Mn |
| Dec 31, 2025 | 139.91 Mn |
| Sep 30, 2025 | 141.00 Mn |
| Jun 30, 2025 | 131.65 Mn |
| Mar 31, 2025 | 126.72 Mn |
| Dec 31, 2024 | 119.04 Mn |
| Sep 30, 2024 | 114.35 Mn |
| Jun 30, 2024 | 106.25 Mn |
| Mar 31, 2024 | 98.91 Mn |
| Dec 31, 2023 | 94.43 Mn |
| Sep 30, 2023 | 99.28 Mn |
| Jun 30, 2023 | 93.87 Mn |
| Mar 31, 2023 | 95.08 Mn |
| Dec 31, 2022 | 89.20 Mn |
| Sep 30, 2022 | 86.36 Mn |
| Jun 30, 2022 | 84.00 Mn |
| Mar 31, 2022 | 89.15 Mn |
| Dec 31, 2021 | 89.53 Mn |
Tejon Ranch 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=TRC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=TRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();