Walker & Dunlop, Inc. (WD) Weighted Average Shares Outstanding (Diluted) (2010 - 2026)
Analysis
Walker & Dunlop, Inc. (WD) Weighted Average Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.28 Mn |
| Mar 31, 2026 | 33.41 Mn |
| Dec 31, 2025 | 33.37 Mn |
| Sep 30, 2025 | 33.40 Mn |
| Jun 30, 2025 | 33.37 Mn |
| Mar 31, 2025 | 33.30 Mn |
| Dec 31, 2024 | 33.16 Mn |
| Sep 30, 2024 | 33.20 Mn |
| Jun 30, 2024 | 33.15 Mn |
| Mar 31, 2024 | 33.05 Mn |
| Dec 31, 2023 | 32.88 Mn |
| Sep 30, 2023 | 32.90 Mn |
| Jun 30, 2023 | 32.85 Mn |
| Mar 31, 2023 | 32.82 Mn |
| Dec 31, 2022 | 32.69 Mn |
| Sep 30, 2022 | 32.62 Mn |
| Jun 30, 2022 | 32.69 Mn |
| Mar 31, 2022 | 32.62 Mn |
| Dec 31, 2021 | 31.53 Mn |
| Sep 30, 2021 | 31.46 Mn |
API Access
Walker & Dunlop, Inc. Weighted Average 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=weighted-average-shares-outstanding-diluted&ticker=WD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "weighted-average-shares-outstanding-diluted", "ticker": "WD", "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-diluted&ticker=WD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();