Altisource Portfolio Solutions (ASPS) Operating Expenses (2010 - 2026)
Altisource Portfolio Solutions (ASPS) recorded Operating Expenses of $11.69 million in Q2 2026, up 19.3% from $9.8 million a year earlier and up 2.7% from the prior quarter.
Altisource Portfolio Solutions (ASPS) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Altisource Portfolio Solutions' Operating Expenses came in at $44.18 million as of Jun 30, 2026, up 5.2% year-over-year; for FY2025, it was $40.98 million, down 10.2% from FY2024.
- Annual Operating Expenses has declined for ten straight years, with a five-year compound annual growth rate of -17.1% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $45.62 million in FY2024 (-1.7%), $46.42 million in FY2023 (-15.2%), $54.76 million in FY2022 (-18.3%) and $67.05 million in FY2021 (-36.0%).
- The Q2 2026 figure is the highest quarterly Operating Expenses since Q1 2024.
- On a year-over-year basis, Operating Expenses rose in three of the last eight quarters, with an average decline of 0.6%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 19.3% in Q2 2026, against a decline of 27.9% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $11.39 million (Q1 2026), $10.27 million (Q4 2025) and $10.83 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn | 877.22 Mn |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn | 4.84 Bn |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - | - |
| 10 | Altisource Portfolio Solutions | 69.78 Mn | -38.17 Mn | 12.82 Mn | 11.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.69 Mn |
| Mar 31, 2026 | 11.39 Mn |
| Dec 31, 2025 | 10.27 Mn |
| Sep 30, 2025 | 10.83 Mn |
| Jun 30, 2025 | 9.80 Mn |
| Mar 31, 2025 | 10.08 Mn |
| Dec 31, 2024 | 11.17 Mn |
| Sep 30, 2024 | 10.97 Mn |
| Jun 30, 2024 | 10.63 Mn |
| Mar 31, 2024 | 12.85 Mn |
| Dec 31, 2023 | 11.25 Mn |
| Sep 30, 2023 | 10.73 Mn |
| Jun 30, 2023 | 12.34 Mn |
| Mar 31, 2023 | 12.09 Mn |
| Dec 31, 2022 | 11.70 Mn |
| Sep 30, 2022 | 14.56 Mn |
| Jun 30, 2022 | 14.53 Mn |
| Mar 31, 2022 | 13.97 Mn |
| Dec 31, 2021 | 15.00 Mn |
| Sep 30, 2021 | 16.60 Mn |
Altisource Portfolio Solutions 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=ASPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ASPS", "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=ASPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();