Glacier Bancorp (GBCI) Return on Sales [ROS] (2009 - 2026)
Glacier Bancorp (GBCI) reported Return on Sales [ROS] of 67.16% for Q2 2026, down 1.71 percentage points from 68.87% a year earlier but up 3.98 percentage points from the prior quarter.
Glacier Bancorp (GBCI) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Glacier Bancorp's Return on Sales [ROS] came in at 65.04%, down 10.39 percentage points year-over-year; for FY2025, it came in at 67.64%, down 11.76 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +21.65 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 79.41% in FY2024 (+6.10 pp), 73.30% in FY2023 (+28.03 pp), 45.27% in FY2022 (-0.31 pp) and 45.58% in FY2021 (-0.41 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of 29.36% in Q4 2021 and a high of 85.72% in Q4 2023.
- Year over year, Return on Sales [ROS] has now declined in each of the last eight quarters, with an average year-over-year change of -8.02 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2023 (a gain of 36.99 percentage points); the low point was Q4 2021 (a drop of 21.17 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 63.19% (Q1 2026), 59.70% (Q4 2025) and 70.92% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | 91.77% |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 93.16% |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | 46.36% |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 95.89% |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 138.04% |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 131.07% |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | 51.45% |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | 84.05% |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 6.25% |
| 10 | Glacier Bancorp | 6.22 Bn | 6.22 Bn | - | 67.16% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 67.16% |
| Mar 31, 2026 | 63.19% |
| Dec 31, 2025 | 59.70% |
| Sep 30, 2025 | 70.92% |
| Jun 30, 2025 | 68.87% |
| Mar 31, 2025 | 73.41% |
| Dec 31, 2024 | 80.31% |
| Sep 30, 2024 | 79.82% |
| Jun 30, 2024 | 81.32% |
| Mar 31, 2024 | 75.99% |
| Dec 31, 2023 | 85.72% |
| Sep 30, 2023 | 82.13% |
| Jun 30, 2023 | 71.16% |
| Mar 31, 2023 | 55.74% |
| Dec 31, 2022 | 50.94% |
| Sep 30, 2022 | 45.14% |
| Jun 30, 2022 | 45.07% |
| Mar 31, 2022 | 39.59% |
| Dec 31, 2021 | 29.36% |
| Sep 30, 2021 | 48.99% |
Glacier Bancorp 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=GBCI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "GBCI", "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=GBCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();