HBT Financial (HBT) Return on Sales [ROS] (2018 - 2026)
HBT Financial (HBT) reported Return on Sales [ROS] of 582.69% for Q2 2026, up 43.84 percentage points from 538.86% a year earlier and up 231.08 percentage points from the prior quarter.
HBT Financial (HBT) Return on Sales [ROS] (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, HBT Financial's Return on Sales [ROS] came in at 487.28%, down 53.18 percentage points year-over-year; for FY2025, it was 521.10%, down 13.71 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +258.17 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 534.81% in FY2024 (+95.11 pp), 439.69% in FY2023 (+125.75 pp), 313.94% in FY2022 (-26.51 pp) and 340.45% in FY2021 (+77.52 pp).
- The Q2 2026 figure ranks as the highest quarterly Return on Sales [ROS] in data going back to Q3 2018.
- Year over year, Return on Sales [ROS] gained in four of the last eight quarters, with an average year-over-year change of -19.23 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q1 2024 (a gain of 260.36 percentage points); the low point was Q1 2026 (a drop of 192.96 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 351.61% (Q1 2026), 487.64% (Q4 2025) and 516.94% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 84.05% |
| 10 | HBT Financial | 1.32 Bn | 624.22 Mn | - | 582.69% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 582.69% |
| Mar 31, 2026 | 351.61% |
| Dec 31, 2025 | 487.64% |
| Sep 30, 2025 | 516.94% |
| Jun 30, 2025 | 538.86% |
| Mar 31, 2025 | 544.57% |
| Dec 31, 2024 | 533.94% |
| Sep 30, 2024 | 545.00% |
| Jun 30, 2024 | 549.92% |
| Mar 31, 2024 | 508.99% |
| Dec 31, 2023 | 513.47% |
| Sep 30, 2023 | 520.32% |
| Jun 30, 2023 | 463.73% |
| Mar 31, 2023 | 248.62% |
| Dec 31, 2022 | 298.48% |
| Sep 30, 2022 | 348.80% |
| Jun 30, 2022 | 297.61% |
| Mar 31, 2022 | 312.14% |
| Dec 31, 2021 | 305.39% |
| Sep 30, 2021 | 321.55% |
HBT Financial Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=HBT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "HBT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=HBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();