OneMain Holdings (OMF) Operating Expenses (2012 - 2026)
OneMain Holdings (OMF) reported Operating Expenses of $492 million for Q2 2026, up 4.0% from $473 million a year earlier but down 1.8% from the prior quarter.
OneMain Holdings (OMF) Operating Expenses (2012 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, OneMain Holdings' Operating Expenses came in at $1.97 billion, up 6.5% year-over-year; for FY2025, it came in at $1.91 billion, up 6.1% from FY2024.
- Operating Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 3.9% (FY2020 to FY2025).
- By year, Operating Expenses came in at $1.8 billion in FY2024 (+4.5%), $1.72 billion in FY2023 (+6.4%), $1.62 billion in FY2022 (-0.6%) and $1.62 billion in FY2021 (+3.4%).
- Five-year quarterly Operating Expenses spans a low of $395 million in Q1 2022 and a high of $501 million in Q1 2026.
- Year over year, Operating Expenses has now increased in each of the last eight quarters, with growth averaging 6.6% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q3 2021 (growth of 18.2%); the low point was Q3 2022 (a decline of 7.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $501 million (Q1 2026), $495 million (Q4 2025) and $484 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 40.96 Bn | 29.78 Bn | - | 2.33 Bn |
| 2 | Orix | 36.82 Bn | 3.63 Bn | - | - |
| 3 | Royalty Pharma | 30.51 Bn | 27.88 Bn | - | 279.27 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 26.64 Bn | 26.64 Bn | - | 2.12 Bn |
| 5 | Royal Gold | 23.60 Bn | 22.77 Bn | 390.45 Mn | 173.18 Mn |
| 6 | Synchrony Financial | 23.18 Bn | -44.45 Bn | - | 1.37 Bn |
| 7 | Affirm Holdings | 23.17 Bn | 16.22 Bn | - | 1.08 Bn |
| 8 | Annaly Capital Management | 14.38 Bn | 5.33 Bn | - | 53.21 Mn |
| 9 | Ares Capital | 13.91 Bn | 11.66 Bn | - | 429.00 Mn |
| 10 | OneMain Holdings | 6.38 Bn | 3.41 Bn | 1.25 Bn | 492.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 492.00 Mn |
| Mar 31, 2026 | 501.00 Mn |
| Dec 31, 2025 | 495.00 Mn |
| Sep 30, 2025 | 484.00 Mn |
| Jun 30, 2025 | 473.00 Mn |
| Mar 31, 2025 | 453.00 Mn |
| Dec 31, 2024 | 482.00 Mn |
| Sep 30, 2024 | 444.00 Mn |
| Jun 30, 2024 | 429.00 Mn |
| Mar 31, 2024 | 441.00 Mn |
| Dec 31, 2023 | 437.00 Mn |
| Sep 30, 2023 | 429.00 Mn |
| Jun 30, 2023 | 441.00 Mn |
| Mar 31, 2023 | 412.00 Mn |
| Dec 31, 2022 | 424.00 Mn |
| Sep 30, 2022 | 398.00 Mn |
| Jun 30, 2022 | 398.00 Mn |
| Mar 31, 2022 | 395.00 Mn |
| Dec 31, 2021 | 429.00 Mn |
| Sep 30, 2021 | 429.00 Mn |
OneMain Holdings 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=OMF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "OMF", "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=OMF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();