Walker & Dunlop, Inc. (WD) Provision for Losses (2010 - 2025)
Analysis
Walker & Dunlop, Inc. (WD) Provision for Losses (2010 - 2025) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 949,000.00 |
| Jun 30, 2025 | 1.82 Mn |
| Sep 30, 2024 | 3.00 Mn |
| Jun 30, 2024 | 2.60 Mn |
| Mar 31, 2019 | 2.68 Mn |
| Dec 31, 2018 | -34,000.00 |
| Sep 30, 2018 | 519,000.00 |
| Jun 30, 2018 | 800,000.00 |
| Mar 31, 2018 | -477,000.00 |
| Dec 31, 2017 | -4,000.00 |
| Sep 30, 2017 | 109,000.00 |
| Jun 30, 2017 | -215,000.00 |
| Mar 31, 2017 | -157,000.00 |
| Dec 31, 2016 | -1.07 Mn |
| Sep 30, 2016 | 332,000.00 |
| Jun 30, 2016 | 292,000.00 |
| Mar 31, 2016 | -409,000.00 |
| Dec 31, 2015 | 1.10 Mn |
| Sep 30, 2015 | 94,000.00 |
| Jun 30, 2015 | 398,000.00 |
API Access
Walker & Dunlop, Inc. Provision for Losses 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=provision-for-losses&ticker=WD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "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=provision-for-losses&ticker=WD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();