Rush Street Interactive (RSI) Accumulated Expenses (2019 - 2026)
Rush Street Interactive's Accumulated Expenses was $95.14 million in Q2 2026, up 39.0% from $68.43 million a year earlier and up 17.5% from the prior quarter.
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Analysis
Rush Street Interactive (RSI) Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Rush Street Interactive came in at $81.51 million, up 12.1% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 24.7% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $72.7 million in FY2024 (+42.2%), $51.13 million in FY2023 (-21.2%), $64.9 million in FY2022 (+34.4%) and $48.3 million in FY2021 (+78.6%).
- The Q2 2026 figure marks the highest quarterly Accumulated Expenses in data going back to Q4 2019.
- Compared with a year earlier, Accumulated Expenses has increased for ten straight quarters, with growth averaging 19.9% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q4 2021 (growth of 78.6%); the worst was Q4 2023 (a decline of 21.2%).
- Per Business Quant data, RSI's Accumulated Expenses in the three quarters before Q2 2026 was $81 million (Q1 2026), $81.51 million (Q4 2025) and $78.18 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Las Vegas Sands | 23.78 Bn | 10.19 Bn | 1.48 Bn |
| 2 | DraftKings | 17.20 Bn | 12.86 Bn | 551.45 Mn |
| 3 | Flutter Entertainment | 13.27 Bn | 7.01 Bn | 1.71 Bn |
| 4 | Madison Square Garden Sports | 9.61 Bn | 9.21 Bn | 119.21 Mn |
| 5 | Life Time Group Holdings | 9.01 Bn | 8.24 Bn | 412.26 Mn |
| 6 | Wynn Resorts | 7.99 Bn | 1.55 Bn | 758.95 Mn |
| 7 | MGM Resorts International | 7.66 Bn | -519.56 Mn | 1.98 Bn |
| 8 | Light & Wonder | 7.12 Bn | 6.43 Bn | 618.00 Mn |
| 9 | Caesars Entertainment | 6.03 Bn | 2.66 Bn | 1.50 Bn |
| 10 | Rush Street Interactive | 4.62 Bn | 3.50 Bn | 139.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 95.14 Mn |
| Mar 31, 2026 | 81.00 Mn |
| Dec 31, 2025 | 81.51 Mn |
| Sep 30, 2025 | 78.18 Mn |
| Jun 30, 2025 | 68.43 Mn |
| Mar 31, 2025 | 68.62 Mn |
| Dec 31, 2024 | 72.70 Mn |
| Sep 30, 2024 | 71.14 Mn |
| Jun 30, 2024 | 64.77 Mn |
| Mar 31, 2024 | 64.62 Mn |
| Dec 31, 2023 | 51.13 Mn |
| Sep 30, 2023 | 56.31 Mn |
| Jun 30, 2023 | 50.89 Mn |
| Mar 31, 2023 | 61.17 Mn |
| Dec 31, 2022 | 64.90 Mn |
| Sep 30, 2022 | 62.21 Mn |
| Jun 30, 2022 | 54.22 Mn |
| Mar 31, 2022 | 57.90 Mn |
| Dec 31, 2021 | 48.30 Mn |
| Sep 30, 2021 | 44.99 Mn |
API Access
Rush Street Interactive Accumulated 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=accumulated-expenses&ticker=RSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "RSI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=RSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();