Nicolet Bankshares (NIC) Return on Sales [ROS] (2012 - 2026)
Nicolet Bankshares (NIC) reported Return on Sales [ROS] of 593.99% for Q2 2026, down 106.00 percentage points from 699.98% a year earlier but up 218.76 percentage points from the prior quarter.
Nicolet Bankshares (NIC) Return on Sales [ROS] (2012 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Nicolet Bankshares' Return on Sales [ROS] came in at 565.09%, down 112.09 percentage points year-over-year; for FY2025, it came in at 673.58%, down 0.23 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +305.96 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 673.81% in FY2024 (+140.08 pp), 533.73% in FY2023 (+120.20 pp), 413.53% in FY2022 (+135.77 pp) and 277.76% in FY2021 (-89.86 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of 175.23% in Q1 2023 and a high of 699.98% in Q2 2025.
- Year over year, Return on Sales [ROS] has now declined in each of the last three quarters, with an average year-over-year change of -47.83 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q1 2024 (a gain of 501.55 percentage points); the low point was Q1 2026 (a drop of 286.82 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 375.23% (Q1 2026), 640.31% (Q4 2025) and 694.37% (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 | Nicolet Bankshares | 3.51 Bn | 1.30 Bn | - | 593.99% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 593.99% |
| Mar 31, 2026 | 375.23% |
| Dec 31, 2025 | 640.31% |
| Sep 30, 2025 | 694.37% |
| Jun 30, 2025 | 699.98% |
| Mar 31, 2025 | 662.05% |
| Dec 31, 2024 | 669.15% |
| Sep 30, 2024 | 677.46% |
| Jun 30, 2024 | 672.11% |
| Mar 31, 2024 | 676.78% |
| Dec 31, 2023 | 691.52% |
| Sep 30, 2023 | 646.15% |
| Jun 30, 2023 | 591.71% |
| Mar 31, 2023 | 175.23% |
| Dec 31, 2022 | 560.41% |
| Sep 30, 2022 | 338.72% |
| Jun 30, 2022 | 383.72% |
| Mar 31, 2022 | 369.08% |
| Dec 31, 2021 | 275.20% |
| Jun 30, 2021 | 334.23% |
Nicolet Bankshares 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=NIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "NIC", "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=NIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();