National Bankshares (NKSH) Other Accumulated Expenses (2014 - 2025)
National Bankshares' Other Accumulated Expenses came in at $10.49 million for Q4 2025, up 4.3% from $10.06 million a year earlier.
Analysis
National Bankshares (NKSH) Other Accumulated Expenses (2014 - 2025) Analysis & Trends
Going back to Q4 2014, National Bankshares' Other Accumulated Expenses data covers 12 quarters.
- Other Accumulated Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 5.0% (FY2020 to FY2025).
- Going back by year, Other Accumulated Expenses was $10.06 million in FY2024 (+31.5%), $7.65 million in FY2023 (+1.0%), $7.57 million in FY2022 (-0.4%) and $7.6 million in FY2021 (-7.5%).
- The Q4 2025 figure represents the highest quarterly Other Accumulated Expenses in data going back to Q4 2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - |
| 10 | National Bankshares | 270.50 Mn | 52.23 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 10.49 Mn |
| Dec 31, 2024 | 10.06 Mn |
| Dec 31, 2023 | 7.65 Mn |
| Dec 31, 2022 | 7.57 Mn |
| Dec 31, 2021 | 7.60 Mn |
| Dec 31, 2020 | 8.22 Mn |
| Dec 31, 2019 | 4.92 Mn |
| Dec 31, 2018 | 5.51 Mn |
| Dec 31, 2017 | 5.94 Mn |
| Dec 31, 2016 | 2.46 Mn |
| Dec 31, 2015 | 2.48 Mn |
| Dec 31, 2014 | 2.66 Mn |
API Access
National Bankshares Other Accumulated Expenses 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=other-accumulated-expenses&ticker=NKSH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=NKSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();