National Bankshares (NKSH) Return on Sales [ROS] (2010 - 2026)
National Bankshares (NKSH) reported Return on Sales [ROS] of 573.05% for Q2 2026, up 42.23 percentage points from 530.82% a year earlier and up 13.04 percentage points from the prior quarter.
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Analysis
National Bankshares (NKSH) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, National Bankshares' Return on Sales [ROS] came in at 607.73%, up 9.71 percentage points year-over-year; for FY2025, it was 598.31%, up 22.89 percentage points from FY2024.
- Return on Sales [ROS] has increased for four consecutive years, with a five-year change of +156.31 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 575.42% in FY2024 (+6.63 pp), 568.79% in FY2023 (+70.57 pp), 498.23% in FY2022 (+127.97 pp) and 370.25% in FY2021 (-71.75 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of 365.42% in Q4 2021 and a high of 727.34% in Q4 2022.
- Year over year, Return on Sales [ROS] has now increased in each of the last three quarters, with an average year-over-year change of +26.45 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q4 2022 (a gain of 361.92 percentage points); the low point was Q2 2024 (a drop of 145.89 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 560.01% (Q1 2026), 691.84% (Q4 2025) and 611.98% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | 84.05% |
| 10 | National Bankshares | 270.50 Mn | 52.23 Mn | - | 573.05% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 573.05% |
| Mar 31, 2026 | 560.01% |
| Dec 31, 2025 | 691.84% |
| Sep 30, 2025 | 611.98% |
| Jun 30, 2025 | 530.82% |
| Mar 31, 2025 | 555.77% |
| Dec 31, 2024 | 650.00% |
| Sep 30, 2024 | 663.73% |
| Jun 30, 2024 | 434.21% |
| Mar 31, 2024 | 550.08% |
| Dec 31, 2023 | 710.75% |
| Sep 30, 2023 | 530.25% |
| Jun 30, 2023 | 580.09% |
| Mar 31, 2023 | 465.64% |
| Dec 31, 2022 | 727.34% |
| Sep 30, 2022 | 462.79% |
| Jun 30, 2022 | 419.05% |
| Mar 31, 2022 | 386.07% |
| Dec 31, 2021 | 365.42% |
| Sep 30, 2021 | 482.58% |
API Access
National 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=NKSH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "NKSH", "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=NKSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();