Lcnb (LCNB) Shares Outstanding (Diluted) (2009 - 2026)
Lcnb (LCNB) posted Shares Outstanding (Diluted) of 14.16 million for Q2 2026, up 0.5% from 14.09 million a year earlier and up 0.2% from the prior quarter.
Lcnb (LCNB) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Lcnb's Shares Outstanding (Diluted) came in at 14.09 million, up 2.3% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for three consecutive years, with a five-year compound annual growth rate of 1.8% (FY2020 to FY2025).
- In prior years, Lcnb's Shares Outstanding (Diluted) was 13.76 million in FY2024 (+20.6%), 11.42 million in FY2023 (+0.1%), 11.41 million in FY2022 (-9.4%) and 12.59 million in FY2021 (-2.5%).
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding (Diluted) in data going back to Q4 2009.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased in each of the last three quarters, with growth averaging 7.4% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was Q3 2024, with growth of 27.8%; the weakest was Q2 2022, with a decline of 11.0%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 14.13 million (Q1 2026), 14.09 million (Q4 2025) and 14.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 2.69 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | 26.92 Bn |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 7.29 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | 3.51 Bn |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 1.57 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 1.41 Bn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | 11.40 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 304.90 Mn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 3.07 Bn |
| 10 | Lcnb | 269.97 Mn | 158.46 Mn | - | 14.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.16 Mn |
| Mar 31, 2026 | 14.13 Mn |
| Dec 31, 2025 | 14.09 Mn |
| Sep 30, 2025 | 14.10 Mn |
| Jun 30, 2025 | 14.09 Mn |
| Mar 31, 2025 | 14.05 Mn |
| Dec 31, 2024 | 13.76 Mn |
| Sep 30, 2024 | 14.10 Mn |
| Jun 30, 2024 | 14.03 Mn |
| Mar 31, 2024 | 13.11 Mn |
| Dec 31, 2023 | 11.42 Mn |
| Sep 30, 2023 | 11.04 Mn |
| Jun 30, 2023 | 11.06 Mn |
| Mar 31, 2023 | 11.19 Mn |
| Dec 31, 2022 | 11.41 Mn |
| Sep 30, 2022 | 11.28 Mn |
| Jun 30, 2022 | 11.34 Mn |
| Mar 31, 2022 | 11.82 Mn |
| Dec 31, 2021 | 12.59 Mn |
| Sep 30, 2021 | 12.46 Mn |
Lcnb Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=LCNB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "LCNB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding-diluted&ticker=LCNB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();