Nbt Bancorp (NBTB) Shares Outstanding (2009 - 2026)
Nbt Bancorp (NBTB) recorded Shares Outstanding of 51.98 million in Q2 2026, up 2.8% from 50.58 million a year earlier but down 0.3% from the prior quarter.
Analysis
Nbt Bancorp (NBTB) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Nbt Bancorp reported Shares Outstanding of 50.65 million, up 7.4% from FY2024.
- Annual Shares Outstanding has increased for three straight years, with a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding came in at 47.17 million in FY2024 (+5.9%), 44.53 million in FY2023 (+3.8%), 42.92 million in FY2022 (-1.2%) and 43.42 million in FY2021 (-0.6%).
- Quarterly Shares Outstanding has ranged from 42.84 million in Q3 2022 to 52.43 million in Q3 2025 over the past five years.
- On a year-over-year basis, Shares Outstanding has increased for 13 consecutive quarters, with growth averaging 6.2% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding in the last five years was growth of 11.1% in Q3 2025, against a decline of 1.4% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 52.12 million (Q1 2026), 50.65 million (Q4 2025) and 52.43 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 2.69 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 26.92 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 7.15 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 3.49 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.55 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.41 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 11.40 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 300.10 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 3.04 Bn |
| 10 | Nbt Bancorp | 2.61 Bn | 2.61 Bn | - | 51.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51.98 Mn |
| Mar 31, 2026 | 52.12 Mn |
| Dec 31, 2025 | 50.65 Mn |
| Sep 30, 2025 | 52.43 Mn |
| Jun 30, 2025 | 50.58 Mn |
| Mar 31, 2025 | 47.24 Mn |
| Dec 31, 2024 | 47.17 Mn |
| Sep 30, 2024 | 47.17 Mn |
| Jun 30, 2024 | 47.16 Mn |
| Mar 31, 2024 | 47.15 Mn |
| Dec 31, 2023 | 44.53 Mn |
| Sep 30, 2023 | 45.16 Mn |
| Jun 30, 2023 | 42.91 Mn |
| Mar 31, 2023 | 42.89 Mn |
| Dec 31, 2022 | 42.92 Mn |
| Sep 30, 2022 | 42.84 Mn |
| Jun 30, 2022 | 42.85 Mn |
| Mar 31, 2022 | 43.14 Mn |
| Dec 31, 2021 | 43.42 Mn |
| Sep 30, 2021 | 43.36 Mn |
API Access
Nbt Bancorp Shares Outstanding 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&ticker=NBTB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=NBTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();