Hilltop Holdings (HTH) Operating Expenses (2010 - 2026)
Hilltop Holdings (HTH) reported Operating Expenses of $266.74 million for Q2 2026, up 2.1% from $261.18 million a year earlier and up 7.4% from the prior quarter.
Hilltop Holdings (HTH) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Hilltop Holdings' Operating Expenses came in at $1.06 billion, up 1.6% year-over-year; for FY2025, it came in at $1.05 billion, up 1.9% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of -6.2% (FY2020 to FY2025).
- By year, Operating Expenses came in at $1.03 billion in FY2024 (+0.5%), $1.03 billion in FY2023 (-8.8%), $1.13 billion in FY2022 (-18.8%) and $1.39 billion in FY2021 (-4.6%).
- Five-year quarterly Operating Expenses spans a low of $248.3 million in Q1 2026 and a high of $355.17 million in Q3 2021.
- Year over year, Operating Expenses gained in seven of the last eight quarters, with growth averaging 1.9%.
- The high point for year-over-year Operating Expenses in five years was Q4 2024 (growth of 4.7%); the low point was Q1 2022 (a decline of 21.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $248.3 million (Q1 2026), $268.92 million (Q4 2025) and $271.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 13.66 Bn |
| 10 | Hilltop Holdings | 2.18 Bn | -388.00 Mn | - | 266.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 266.74 Mn |
| Mar 31, 2026 | 248.30 Mn |
| Dec 31, 2025 | 268.92 Mn |
| Sep 30, 2025 | 271.90 Mn |
| Jun 30, 2025 | 261.18 Mn |
| Mar 31, 2025 | 251.47 Mn |
| Dec 31, 2024 | 262.76 Mn |
| Sep 30, 2024 | 264.31 Mn |
| Jun 30, 2024 | 256.46 Mn |
| Mar 31, 2024 | 250.02 Mn |
| Dec 31, 2023 | 250.85 Mn |
| Sep 30, 2023 | 260.02 Mn |
| Jun 30, 2023 | 266.98 Mn |
| Mar 31, 2023 | 250.47 Mn |
| Dec 31, 2022 | 253.37 Mn |
| Sep 30, 2022 | 288.74 Mn |
| Jun 30, 2022 | 298.54 Mn |
| Mar 31, 2022 | 286.35 Mn |
| Dec 31, 2021 | 322.19 Mn |
| Sep 30, 2021 | 355.17 Mn |
Hilltop Holdings Operating Expenses 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=operating-expenses&ticker=HTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=HTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();