loanDepot (LDI) Operating Expenses (2020 - 2026)
loanDepot (LDI) recorded Operating Expenses of $343.94 million in Q2 2026, up 9.2% from $314.87 million a year earlier and up 0.7% from the prior quarter.
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Analysis
loanDepot (LDI) Operating Expenses (2020 - 2026) Analysis & Trends
On a TTM basis, loanDepot's Operating Expenses came in at $1.36 billion as of Jun 30, 2026, up 5.7% year-over-year; for FY2025, it was $1.31 billion, up 0.6% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of -10.6% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $1.3 billion in FY2024 (+4.1%), $1.25 billion in FY2023 (-35.6%), $1.95 billion in FY2022 (-36.4%) and $3.06 billion in FY2021 (+33.1%).
- The Q2 2026 figure is the highest quarterly Operating Expenses since Q3 2022.
- On a year-over-year basis, Operating Expenses has increased for four consecutive quarters, with growth averaging 4.3% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 16.4% in Q3 2021, against a decline of 50.5% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $341.5 million (Q1 2026), $342.06 million (Q4 2025) and $333.61 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Orix | 43.85 Bn | 44.35 Bn | - | 4.66 Bn |
| 2 | Rocket Companies | 43.67 Bn | 29.35 Bn | - | 2.50 Bn |
| 3 | Royalty Pharma | 33.56 Bn | 33.48 Bn | - | 541.02 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 25.52 Bn | 25.52 Bn | - | 2.07 Bn |
| 5 | Synchrony Financial | 23.24 Bn | -44.73 Bn | - | 1.33 Bn |
| 6 | Affirm Holdings | 22.66 Bn | 16.35 Bn | - | 1.02 Bn |
| 7 | Royal Gold | 20.35 Bn | 19.57 Bn | 390.45 Mn | 173.18 Mn |
| 8 | Annaly Capital Management | 15.27 Bn | 6.37 Bn | - | 58.19 Mn |
| 9 | Ares Capital | 13.74 Bn | 11.17 Bn | - | - |
| 10 | loanDepot | 219.93 Mn | -1.29 Bn | - | 343.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 343.94 Mn |
| Mar 31, 2026 | 341.50 Mn |
| Dec 31, 2025 | 342.06 Mn |
| Sep 30, 2025 | 333.61 Mn |
| Jun 30, 2025 | 314.87 Mn |
| Mar 31, 2025 | 319.72 Mn |
| Dec 31, 2024 | 341.59 Mn |
| Sep 30, 2024 | 311.00 Mn |
| Jun 30, 2024 | 342.55 Mn |
| Mar 31, 2024 | 307.95 Mn |
| Dec 31, 2023 | 302.57 Mn |
| Sep 30, 2023 | 305.13 Mn |
| Jun 30, 2023 | 330.15 Mn |
| Mar 31, 2023 | 314.48 Mn |
| Dec 31, 2022 | 343.74 Mn |
| Sep 30, 2022 | 435.13 Mn |
| Jun 30, 2022 | 560.66 Mn |
| Mar 31, 2022 | 606.26 Mn |
| Dec 31, 2021 | 694.13 Mn |
| Sep 30, 2021 | 744.77 Mn |
API Access
loanDepot Operating 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=operating-expenses&ticker=LDI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "LDI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=LDI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();