Walker & Dunlop (WD) Accumulated Expenses (2016 - 2025)
Walker & Dunlop (WD) reported Accumulated Expenses of $172.52 million for Q4 2025, up 11.1% from $155.25 million a year earlier.
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Analysis
Walker & Dunlop (WD) Accumulated Expenses (2016 - 2025) Analysis & Trends
Dating back to Q2 2016, Walker & Dunlop's Accumulated Expenses record includes 6 quarters.
- Accumulated Expenses has increased for three consecutive years, with a four-year compound annual growth rate of 1.8% (FY2021 to FY2025).
- By year, Accumulated Expenses came in at $155.25 million in FY2024 (+25.9%), $123.35 million in FY2023 (+6.4%), $115.88 million in FY2022 (-27.9%) and $160.72 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rocket Companies | 41.00 Bn | 29.82 Bn | - |
| 2 | Royalty Pharma | 39.88 Bn | 40.21 Bn | - |
| 3 | Orix | 36.75 Bn | 7.39 Bn | 13.83 Bn |
| 4 | Federal National Mortgage Association Fannie Mae | 25.40 Bn | -16,108.71 Bn | - |
| 5 | Royal Gold | 23.20 Bn | 22.41 Bn | 402.46 Mn |
| 6 | Affirm Holdings | 22.35 Bn | 15.40 Bn | - |
| 7 | Synchrony Financial | 22.29 Bn | -45.34 Bn | - |
| 8 | Annaly Capital Management | 14.69 Bn | 5.72 Bn | - |
| 9 | Ares Capital | 14.04 Bn | 11.79 Bn | - |
| 10 | Walker & Dunlop | 1.33 Bn | 509.47 Mn | 210.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 172.52 Mn |
| Dec 31, 2024 | 155.25 Mn |
| Dec 31, 2023 | 123.35 Mn |
| Dec 31, 2022 | 115.88 Mn |
| Dec 31, 2021 | 160.72 Mn |
| Jun 30, 2016 | 1.40 Mn |
API Access
Walker & Dunlop Accumulated Expenses 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=accumulated-expenses&ticker=WD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=WD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();