National Bank Holdings (NBHC) Return on Sales [ROS] (2010 - 2026)
National Bank Holdings (NBHC) posted Return on Sales [ROS] of 714.57% for Q2 2026, down 53.28 percentage points from 767.86% a year earlier but up 42.80 percentage points from the prior quarter.
National Bank Holdings (NBHC) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at National Bank Holdings was 635.02%, down 90.23 percentage points year-over-year; for FY2025, it was 646.66%, down 85.63 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +231.15 percentage points (FY2020 to FY2025).
- In prior years, National Bank Holdings' Return on Sales [ROS] was 732.29% in FY2024 (+73.64 pp), 658.65% in FY2023 (+382.35 pp), 276.30% in FY2022 (-83.87 pp) and 360.17% in FY2021 (-55.34 pp).
- Quarterly Return on Sales [ROS] has run from a low of 98.20% in Q3 2021 to a high of 803.96% in Q4 2023 over five years.
- On a year-over-year basis, Return on Sales [ROS] has declined in each of the last three quarters, with an average year-over-year change of -42.64 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2023, with a gain of 541.05 percentage points; the weakest was Q4 2025, with a drop of 281.69 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 671.77% (Q1 2026), 425.10% (Q4 2025) and 773.17% (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 | National Bank Holdings | 1.70 Bn | -130.55 Mn | - | 714.57% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 714.57% |
| Mar 31, 2026 | 671.77% |
| Dec 31, 2025 | 425.10% |
| Sep 30, 2025 | 773.17% |
| Jun 30, 2025 | 767.86% |
| Mar 31, 2025 | 675.68% |
| Dec 31, 2024 | 706.79% |
| Sep 30, 2024 | 747.93% |
| Jun 30, 2024 | 689.87% |
| Mar 31, 2024 | 786.63% |
| Dec 31, 2023 | 803.96% |
| Sep 30, 2023 | 645.25% |
| Jun 30, 2023 | 538.37% |
| Mar 31, 2023 | 685.13% |
| Dec 31, 2022 | 262.91% |
| Sep 30, 2022 | 242.05% |
| Jun 30, 2022 | 324.14% |
| Mar 31, 2022 | 299.02% |
| Dec 31, 2021 | 360.17% |
| Sep 30, 2021 | 98.20% |
National Bank Holdings 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=NBHC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "NBHC", "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=NBHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();