National Bankshares (NKSH) EBITDA (2010 - 2026)
National Bankshares (NKSH) posted EBITDA of $12.89 million for Q2 2026, up 22.1% from $10.55 million a year earlier and up 0.9% from the prior quarter.
Powered by 
Analysis
National Bankshares (NKSH) EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at National Bankshares was $53.29 million, up 11.3% year-over-year; for FY2025, it was $50.39 million, up 14.6% from FY2024.
- Annual EBITDA has increased for four consecutive years, with a five-year compound annual growth rate of 14.4% (FY2020 to FY2025).
- In prior years, National Bankshares' EBITDA was $43.98 million in FY2024 (+7.3%), $40.98 million in FY2023 (+15.6%), $35.46 million in FY2022 (+40.3%) and $25.27 million in FY2021 (-1.7%).
- Quarterly EBITDA has run from a low of $6.5 million in Q4 2021 to a high of $14.55 million in Q4 2025 over five years.
- On a year-over-year basis, EBITDA has increased in each of the last eight quarters, with growth averaging 14.9% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q4 2022, with growth of 95.2%; the weakest was Q2 2024, with a decline of 18.1%.
- According to Business Quant data, EBITDA for the three prior quarters was $12.77 million (Q1 2026), $14.55 million (Q4 2025) and $13.09 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 20.89 Bn |
| 10 | National Bankshares | 269.16 Mn | 50.89 Mn | - | 12.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.89 Mn |
| Mar 31, 2026 | 12.77 Mn |
| Dec 31, 2025 | 14.55 Mn |
| Sep 30, 2025 | 13.09 Mn |
| Jun 30, 2025 | 10.55 Mn |
| Mar 31, 2025 | 12.19 Mn |
| Dec 31, 2024 | 12.34 Mn |
| Sep 30, 2024 | 12.78 Mn |
| Jun 30, 2024 | 8.18 Mn |
| Mar 31, 2024 | 10.68 Mn |
| Dec 31, 2023 | 12.31 Mn |
| Sep 30, 2023 | 9.94 Mn |
| Jun 30, 2023 | 10.00 Mn |
| Mar 31, 2023 | 8.74 Mn |
| Dec 31, 2022 | 12.69 Mn |
| Sep 30, 2022 | 8.46 Mn |
| Jun 30, 2022 | 7.56 Mn |
| Mar 31, 2022 | 6.75 Mn |
| Dec 31, 2021 | 6.50 Mn |
| Sep 30, 2021 | 7.83 Mn |
API Access
National Bankshares EBITDA 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=ebitda&ticker=NKSH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=NKSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();