Onity (ONIT) Operating Expenses (2010 - 2026)
Onity's Operating Expenses was $139 million in Q2 2026, up 26.9% from $109.5 million a year earlier and up 5.1% from the prior quarter.
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Analysis
Onity (ONIT) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Onity's Operating Expenses was $533.5 million through Jun 30, 2026, up 16.6% year-over-year; for FY2025, it came in at $491.7 million, up 12.6% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of -3.1% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $436.5 million in FY2024 (+5.9%), $412.1 million in FY2023 (-22.6%), $532.4 million in FY2022 (-12.6%) and $609.3 million in FY2021 (+5.8%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses since Q3 2022.
- Compared with a year earlier, Operating Expenses has increased for nine straight quarters, with growth averaging 12.6% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2026 (growth of 26.9%); the worst was Q2 2023 (a decline of 41.6%).
- Per Business Quant data, ONIT's Operating Expenses in the three quarters before Q2 2026 was $132.2 million (Q1 2026), $136.5 million (Q4 2025) and $125.8 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 43.90 Bn | 29.58 Bn | - | 2.50 Bn |
| 2 | Orix | 42.96 Bn | 43.46 Bn | - | 4.66 Bn |
| 3 | Royalty Pharma | 33.48 Bn | 33.39 Bn | - | 541.02 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 23.94 Bn | 23.94 Bn | - | 2.07 Bn |
| 5 | Affirm Holdings | 23.37 Bn | 17.06 Bn | - | 1.02 Bn |
| 6 | Synchrony Financial | 23.31 Bn | -44.66 Bn | - | 1.33 Bn |
| 7 | Royal Gold | 20.23 Bn | 19.45 Bn | 390.45 Mn | 173.18 Mn |
| 8 | Annaly Capital Management | 15.24 Bn | 6.34 Bn | - | 58.19 Mn |
| 9 | Ares Capital | 13.90 Bn | 11.34 Bn | - | - |
| 10 | Onity | 251.17 Mn | 251.17 Mn | - | 139.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 139.00 Mn |
| Mar 31, 2026 | 132.20 Mn |
| Dec 31, 2025 | 136.50 Mn |
| Sep 30, 2025 | 125.80 Mn |
| Jun 30, 2025 | 109.50 Mn |
| Mar 31, 2025 | 119.90 Mn |
| Dec 31, 2024 | 115.70 Mn |
| Sep 30, 2024 | 112.40 Mn |
| Jun 30, 2024 | 104.00 Mn |
| Mar 31, 2024 | 104.40 Mn |
| Dec 31, 2023 | 103.70 Mn |
| Sep 30, 2023 | 110.00 Mn |
| Jun 30, 2023 | 84.30 Mn |
| Mar 31, 2023 | 114.10 Mn |
| Dec 31, 2022 | 119.60 Mn |
| Sep 30, 2022 | 141.40 Mn |
| Jun 30, 2022 | 144.40 Mn |
| Mar 31, 2022 | 127.00 Mn |
| Dec 31, 2021 | 174.43 Mn |
| Sep 30, 2021 | 145.44 Mn |
API Access
Onity 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=ONIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ONIT", "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=ONIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();