High Roller Technologies (ROLR) Change in Accrued Expenses (2023 - 2026)
High Roller Technologies' Change in Accured Expenses was -$742,000 in Q3 2025, compared with $129,000 a year earlier.
High Roller Technologies (ROLR) Change in Accrued Expenses (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, High Roller Technologies' Change in Accured Expenses was -$606,000 through Sep 30, 2025; for FY2024, it was $259,000, down 87.5% from FY2023.
- In earlier years, Change in Accured Expenses was $2.07 million in FY2023.
- The Q3 2025 figure marks the lowest quarterly Change in Accured Expenses in data going back to Q4 2023.
- Per Business Quant data, ROLR's Change in Accured Expenses in the three quarters before Q3 2025 was -$42,000 (Q2 2025), -$417,000 (Q1 2025) and $595,000 (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Wynn Resorts | 44.86 Bn | 38.23 Bn | 655.12 Mn | -65.61 Mn |
| 2 | Vail Resorts | 28.33 Bn | 27.04 Bn | - | 1.02 Mn |
| 3 | Las Vegas Sands | 25.59 Bn | 12.41 Bn | 1.47 Bn | - |
| 4 | DraftKings | 17.25 Bn | 13.04 Bn | 429.05 Mn | 223.42 Mn |
| 5 | Flutter Entertainment | 14.34 Bn | 7.97 Bn | 1.52 Bn | - |
| 6 | Life Time Group Holdings | 10.65 Bn | 9.82 Bn | 419.01 Mn | - |
| 7 | MGM Resorts International | 8.32 Bn | -116.89 Mn | 1.73 Bn | 81.86 Mn |
| 8 | MSG Knickerbockers | 7.63 Bn | 7.24 Bn | 36.67 Mn | -184.30 Mn |
| 9 | Light & Wonder | 7.12 Bn | 6.42 Bn | 623.00 Mn | - |
| 10 | High Roller Technologies | 35.08 Mn | -10.18 Mn | 1.52 Mn | -778,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -778,000.00 |
| Mar 31, 2026 | -624,000.00 |
| Dec 31, 2025 | -300,000.00 |
| Sep 30, 2025 | -742,000.00 |
| Jun 30, 2025 | -42,000.00 |
| Mar 31, 2025 | -417,000.00 |
| Dec 31, 2024 | 595,000.00 |
| Sep 30, 2024 | 129,000.00 |
| Jun 30, 2024 | -704,000.00 |
| Mar 31, 2024 | 239,000.00 |
| Dec 31, 2023 | 1.09 Mn |
High Roller Technologies Change in Accrued 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=change-in-accured-expenses&ticker=ROLR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "ROLR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=ROLR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();