PROG Holdings (PRG) Operating Expenses (2019 - 2026)
PROG Holdings' Operating Expenses came in at $660.6 million for Q2 2026, up 24.8% from $529.19 million a year earlier but down 4.2% from the prior quarter.
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Analysis
PROG Holdings (PRG) Operating Expenses (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, PROG Holdings reported Operating Expenses of $2.39 billion, up 8.2% year-over-year; for FY2025, it was $2.21 billion, up 0.2% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $2.2 billion in FY2024 (+3.9%), $2.12 billion in FY2023 (-12.1%), $2.41 billion in FY2022 (+2.9%) and $2.34 billion in FY2021 (+5.9%).
- The five-year range for quarterly Operating Expenses is $480.04 million (Q4 2023) to $689.53 million (Q1 2026).
- Year-over-year, Operating Expenses increased in five of the last eight quarters, with growth averaging 5.5%.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2026 (growth of 24.8%), and the weakest in Q2 2023 (a decline of 12.9%).
- Business Quant data shows PRG's Operating Expenses at $689.53 million (Q1 2026), $495.82 million (Q4 2025) and $541.58 million (Q3 2025) in the three quarters before Q2 2026.
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 | PROG Holdings | 1.27 Bn | 515.06 Mn | 644.01 Mn | 660.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 660.60 Mn |
| Mar 31, 2026 | 689.53 Mn |
| Dec 31, 2025 | 495.82 Mn |
| Sep 30, 2025 | 541.58 Mn |
| Jun 30, 2025 | 529.19 Mn |
| Mar 31, 2025 | 612.09 Mn |
| Dec 31, 2024 | 508.91 Mn |
| Sep 30, 2024 | 556.91 Mn |
| Jun 30, 2024 | 536.48 Mn |
| Mar 31, 2024 | 602.05 Mn |
| Dec 31, 2023 | 480.04 Mn |
| Sep 30, 2023 | 527.99 Mn |
| Jun 30, 2023 | 533.55 Mn |
| Mar 31, 2023 | 579.06 Mn |
| Dec 31, 2022 | 549.67 Mn |
| Sep 30, 2022 | 589.01 Mn |
| Jun 30, 2022 | 612.51 Mn |
| Mar 31, 2022 | 661.00 Mn |
| Dec 31, 2021 | 589.76 Mn |
| Sep 30, 2021 | 572.08 Mn |
API Access
PROG 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=PRG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "PRG", "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=PRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();