Upbound (UPBD) Other Operating Expenses (2009 - 2026)
Upbound's Other Operating Expenses came in at $260.26 million for Q2 2026, up 13.1% from $230.14 million a year earlier and up 4.0% from the prior quarter.
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Analysis
Upbound (UPBD) Other Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Upbound reported Other Operating Expenses of $1.01 billion, up 20.0% year-over-year; for FY2025, it was $949.92 million, up 17.0% from FY2024.
- Other Operating Expenses carries a five-year compound annual growth rate of -4.4% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $811.64 million in FY2024 (+4.6%), $775.92 million in FY2023 (-5.6%), $821.82 million in FY2022 (-41.4%) and $1.4 billion in FY2021 (+17.9%).
- The Q2 2026 figure represents the highest quarterly Other Operating Expenses since Q4 2021.
- Year-over-year, Other Operating Expenses has increased for six consecutive quarters, with growth averaging 11.9% over the last eight quarters.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q3 2021 (growth of 34.6%), and the weakest in Q4 2022 (a decline of 49.4%).
- Business Quant data shows UPBD's Other Operating Expenses at $250.26 million (Q1 2026), $258.69 million (Q4 2025) and $242.08 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rocket Companies | 43.26 Bn | 28.94 Bn | - |
| 2 | Orix | 42.40 Bn | 42.90 Bn | - |
| 3 | Royalty Pharma | 33.56 Bn | 33.47 Bn | - |
| 4 | Federal National Mortgage Association Fannie Mae | 24.47 Bn | 24.47 Bn | - |
| 5 | Affirm Holdings | 23.34 Bn | 17.03 Bn | - |
| 6 | Synchrony Financial | 23.06 Bn | -44.91 Bn | - |
| 7 | Royal Gold | 19.98 Bn | 19.21 Bn | 390.45 Mn |
| 8 | Annaly Capital Management | 14.18 Bn | 5.27 Bn | - |
| 9 | Ares Capital | 13.71 Bn | 11.15 Bn | - |
| 10 | Upbound | 915.30 Mn | 484.04 Mn | 594.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 260.26 Mn |
| Mar 31, 2026 | 250.26 Mn |
| Dec 31, 2025 | 258.69 Mn |
| Sep 30, 2025 | 242.08 Mn |
| Jun 30, 2025 | 230.14 Mn |
| Mar 31, 2025 | 219.01 Mn |
| Dec 31, 2024 | 197.88 Mn |
| Sep 30, 2024 | 196.01 Mn |
| Jun 30, 2024 | 203.95 Mn |
| Mar 31, 2024 | 213.80 Mn |
| Dec 31, 2023 | 206.65 Mn |
| Sep 30, 2023 | 191.46 Mn |
| Jun 30, 2023 | 181.10 Mn |
| Mar 31, 2023 | 196.71 Mn |
| Dec 31, 2022 | 197.52 Mn |
| Sep 30, 2022 | 197.85 Mn |
| Jun 30, 2022 | 199.09 Mn |
| Mar 31, 2022 | 227.37 Mn |
| Dec 31, 2021 | 390.43 Mn |
| Sep 30, 2021 | 189.55 Mn |
API Access
Upbound Other 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=other-operating-expenses&ticker=UPBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "UPBD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=UPBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();