Nbt Bancorp (NBTB) Shares Outstanding (Diluted) (2009 - 2026)
Nbt Bancorp (NBTB) posted Shares Outstanding (Diluted) of 51.98 million for Q2 2026, up 2.8% from 50.58 million a year earlier but down 0.3% from the prior quarter.
Nbt Bancorp (NBTB) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Nbt Bancorp's Shares Outstanding (Diluted) came in at 50.88 million, up 7.3% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for three consecutive years, with a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- In prior years, Nbt Bancorp's Shares Outstanding (Diluted) was 47.43 million in FY2024 (+5.9%), 44.77 million in FY2023 (+3.7%), 43.18 million in FY2022 (-1.2%) and 43.72 million in FY2021 (-0.6%).
- Quarterly Shares Outstanding (Diluted) has run from a low of 42.84 million in Q3 2022 to a high of 52.43 million in Q3 2025 over five years.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased in each of the last 13 quarters, with growth averaging 6.2% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was Q3 2025, with growth of 11.1%; the weakest was Q2 2022, with a decline of 1.4%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 52.12 million (Q1 2026), 50.88 million (Q4 2025) and 52.43 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | 2.69 Bn |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | 26.92 Bn |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | 7.29 Bn |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | 3.51 Bn |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | 1.57 Bn |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | 1.41 Bn |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | 11.40 Bn |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | 304.90 Mn |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | 3.07 Bn |
| 10 | Nbt Bancorp | 2.64 Bn | 2.64 Bn | - | 51.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51.98 Mn |
| Mar 31, 2026 | 52.12 Mn |
| Dec 31, 2025 | 50.88 Mn |
| Sep 30, 2025 | 52.43 Mn |
| Jun 30, 2025 | 50.58 Mn |
| Mar 31, 2025 | 47.24 Mn |
| Dec 31, 2024 | 47.43 Mn |
| Sep 30, 2024 | 47.17 Mn |
| Jun 30, 2024 | 47.16 Mn |
| Mar 31, 2024 | 47.15 Mn |
| Dec 31, 2023 | 44.77 Mn |
| Sep 30, 2023 | 45.16 Mn |
| Jun 30, 2023 | 42.91 Mn |
| Mar 31, 2023 | 42.89 Mn |
| Dec 31, 2022 | 43.18 Mn |
| Sep 30, 2022 | 42.84 Mn |
| Jun 30, 2022 | 42.85 Mn |
| Mar 31, 2022 | 43.14 Mn |
| Dec 31, 2021 | 43.72 Mn |
| Sep 30, 2021 | 43.36 Mn |
Nbt Bancorp 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=NBTB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "NBTB", "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=NBTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();