Fnb Corp/Pa/ (FNB) Weighted Average Shares Outstanding (2009 - 2026)
Analysis
Fnb Corp/Pa/ (FNB) Weighted Average Shares Outstanding (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 356.57 Mn |
| Mar 31, 2026 | 359.49 Mn |
| Dec 31, 2025 | 360.84 Mn |
| Sep 30, 2025 | 360.56 Mn |
| Jun 30, 2025 | 361.42 Mn |
| Mar 31, 2025 | 361.73 Mn |
| Dec 31, 2024 | 361.44 Mn |
| Sep 30, 2024 | 361.27 Mn |
| Jun 30, 2024 | 361.75 Mn |
| Mar 31, 2024 | 361.25 Mn |
| Dec 31, 2023 | 360.74 Mn |
| Sep 30, 2023 | 360.85 Mn |
| Jun 30, 2023 | 360.12 Mn |
| Mar 31, 2023 | 360.86 Mn |
| Dec 31, 2022 | 349.98 Mn |
| Sep 30, 2022 | 350.91 Mn |
| Jun 30, 2022 | 351.27 Mn |
| Mar 31, 2022 | 344.35 Mn |
| Dec 31, 2021 | 319.79 Mn |
| Sep 30, 2021 | 319.51 Mn |
API Access
Fnb Corp/Pa/ Weighted Average 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=weighted-average-shares-outstanding&ticker=FNB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "weighted-average-shares-outstanding", "ticker": "FNB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=weighted-average-shares-outstanding&ticker=FNB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();