National Bankshares (NKSH) Retained Earnings (2010 - 2026)
National Bankshares' Retained Earnings came in at $207.79 million for Q2 2026, up 5.4% from $197.22 million a year earlier and up 0.1% from the prior quarter.
National Bankshares (NKSH) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, National Bankshares' Retained Earnings was $202.56 million, up 3.2% from FY2024.
- Retained Earnings carries a five-year compound annual growth rate of 1.3% (FY2020 to FY2025).
- Going back by year, Retained Earnings was $196.34 million in FY2024 (-0.8%), $197.98 million in FY2023 (-0.6%), $199.09 million in FY2022 (+5.8%) and $188.23 million in FY2021 (-0.7%).
- The Q2 2026 figure represents the highest quarterly Retained Earnings in data going back to Q4 2010.
- Year-over-year, Retained Earnings has increased for five consecutive quarters, with growth averaging 1.7% over the last eight quarters.
- The fastest year-over-year change in Retained Earnings over five years came in Q4 2022 (growth of 5.8%), and the weakest in Q3 2021 (a decline of 1.2%).
- Business Quant data shows NKSH's Retained Earnings at $207.54 million (Q1 2026), $202.56 million (Q4 2025) and $201.64 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 445.02 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 661.60 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 274.52 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 21.39 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 122.77 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 74.21 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 102.78 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 174.35 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 237.23 Bn |
| 10 | National Bankshares | 266.99 Mn | 48.72 Mn | - | 207.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 207.79 Mn |
| Mar 31, 2026 | 207.54 Mn |
| Dec 31, 2025 | 202.56 Mn |
| Sep 30, 2025 | 201.64 Mn |
| Jun 30, 2025 | 197.22 Mn |
| Mar 31, 2025 | 199.58 Mn |
| Dec 31, 2024 | 196.34 Mn |
| Sep 30, 2024 | 198.23 Mn |
| Jun 30, 2024 | 195.55 Mn |
| Mar 31, 2024 | 200.16 Mn |
| Dec 31, 2023 | 197.98 Mn |
| Sep 30, 2023 | 198.39 Mn |
| Jun 30, 2023 | 195.32 Mn |
| Mar 31, 2023 | 195.72 Mn |
| Dec 31, 2022 | 199.09 Mn |
| Sep 30, 2022 | 196.94 Mn |
| Jun 30, 2022 | 191.54 Mn |
| Mar 31, 2022 | 191.65 Mn |
| Dec 31, 2021 | 188.23 Mn |
| Sep 30, 2021 | 188.69 Mn |
National Bankshares Retained Earnings 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=retained-earnings&ticker=NKSH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=NKSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();