Hilltop Holdings (HTH) Occupancy Expense (2012 - 2026)
Hilltop Holdings' Occupancy Expense was $19.74 million in Q3 2026, down 1.0% from $19.93 million a year earlier but up 1.6% from the prior quarter.
Hilltop Holdings (HTH) Occupancy Expense (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Hilltop Holdings' Occupancy Expense was $79.81 million through Sep 30, 2026, down 7.7% year-over-year; for FY2025, it came in at $81.59 million, down 10.6% from FY2024.
- Occupancy Expense shows a five-year compound annual growth rate of -3.9% (FY2020 to FY2025).
- In earlier years, Occupancy Expense was $91.23 million in FY2024 (+2.1%), $89.33 million in FY2023 (-8.0%), $97.12 million in FY2022 (-3.5%) and $100.6 million in FY2021 (+1.2%).
- Quarterly Occupancy Expense has moved between $19.43 million (Q2 2026) and $25.74 million (Q4 2021) over five years.
- Compared with a year earlier, Occupancy Expense was higher in two of the last eight quarters, with an average decline of 3.7%.
- The best year-over-year quarter for Occupancy Expense over five years was Q4 2024 (growth of 19.4%); the worst was Q4 2025 (a decline of 19.0%).
- Per Business Quant data, HTH's Occupancy Expense in the three quarters before Q3 2026 was $19.43 million (Q2 2026), $19.83 million (Q1 2026) and $20.82 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - |
| 10 | Hilltop Holdings | 2.07 Bn | -550.66 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 19.74 Mn |
| Jun 30, 2026 | 19.43 Mn |
| Mar 31, 2026 | 19.83 Mn |
| Dec 31, 2025 | 20.82 Mn |
| Sep 30, 2025 | 19.93 Mn |
| Jun 30, 2025 | 21.06 Mn |
| Mar 31, 2025 | 19.78 Mn |
| Dec 31, 2024 | 25.71 Mn |
| Sep 30, 2024 | 22.32 Mn |
| Jun 30, 2024 | 21.30 Mn |
| Mar 31, 2024 | 21.91 Mn |
| Dec 31, 2023 | 21.52 Mn |
| Sep 30, 2023 | 21.91 Mn |
| Jun 30, 2023 | 23.03 Mn |
| Mar 31, 2023 | 22.87 Mn |
| Dec 31, 2022 | 23.08 Mn |
| Sep 30, 2022 | 25.04 Mn |
| Jun 30, 2022 | 24.23 Mn |
| Mar 31, 2022 | 24.77 Mn |
| Dec 31, 2021 | 25.74 Mn |
Hilltop Holdings Occupancy Expense 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=occupancy-expense&ticker=HTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-expense", "ticker": "HTH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=occupancy-expense&ticker=HTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();