Rush Street Interactive (RSI) Property, Plant & Equipment (Net) (2019 - 2026)
Rush Street Interactive (RSI) recorded Property, Plant & Equipment (Net) of $9.14 million in Q3 2026, up 7.2% from $8.53 million a year earlier and up 30.6% from the prior quarter.
Rush Street Interactive (RSI) Property, Plant & Equipment (Net) (2019 - 2026) Analysis & Trends
At the end of FY2025, Rush Street Interactive reported Property, Plant & Equipment (Net) of $7.74 million, up 6.9% from FY2024.
- Annual Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 30.9% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $7.24 million in FY2024 (-15.9%), $8.61 million in FY2023 (-12.1%), $9.8 million in FY2022 (+35.5%) and $7.23 million in FY2021 (+258.7%).
- The Q3 2026 figure is the highest quarterly Property, Plant & Equipment (Net) since Q1 2025.
- On a year-over-year basis, Property, Plant & Equipment (Net) rose in five of the last eight quarters, with an average decline of 1.4%.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 259.4% in Q1 2022, against a decline of 25.4% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $7 million (Q2 2026), $7.11 million (Q1 2026) and $7.74 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Wynn Resorts | 44.86 Bn | 38.23 Bn | 655.12 Mn | 6.68 Bn |
| 2 | Vail Resorts | 28.33 Bn | 27.04 Bn | - | 2.34 Bn |
| 3 | Las Vegas Sands | 25.59 Bn | 12.41 Bn | 1.47 Bn | 11.48 Bn |
| 4 | DraftKings | 17.25 Bn | 13.04 Bn | 429.05 Mn | 90.73 Mn |
| 5 | Flutter Entertainment | 14.34 Bn | 7.97 Bn | 1.52 Bn | 544.00 Mn |
| 6 | Life Time Group Holdings | 10.65 Bn | 9.82 Bn | 419.01 Mn | 3.96 Bn |
| 7 | MGM Resorts International | 8.32 Bn | -116.89 Mn | 1.73 Bn | 6.17 Bn |
| 8 | MSG Knickerbockers | 7.63 Bn | 7.24 Bn | 36.67 Mn | 27.13 Mn |
| 9 | Light & Wonder | 7.12 Bn | 6.42 Bn | 623.00 Mn | 355.00 Mn |
| 10 | Rush Street Interactive | 2.77 Bn | 1.55 Bn | 140.42 Mn | 9.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 9.14 Mn |
| Jun 30, 2026 | 7.00 Mn |
| Mar 31, 2026 | 7.11 Mn |
| Dec 31, 2025 | 7.74 Mn |
| Sep 30, 2025 | 8.53 Mn |
| Jun 30, 2025 | 9.02 Mn |
| Mar 31, 2025 | 9.54 Mn |
| Dec 31, 2024 | 7.24 Mn |
| Sep 30, 2024 | 7.74 Mn |
| Jun 30, 2024 | 8.02 Mn |
| Mar 31, 2024 | 8.21 Mn |
| Dec 31, 2023 | 8.61 Mn |
| Sep 30, 2023 | 8.10 Mn |
| Jun 30, 2023 | 9.69 Mn |
| Mar 31, 2023 | 9.04 Mn |
| Dec 31, 2022 | 9.80 Mn |
| Sep 30, 2022 | 8.78 Mn |
| Jun 30, 2022 | 8.30 Mn |
| Mar 31, 2022 | 8.19 Mn |
| Dec 31, 2021 | 7.23 Mn |
Rush Street Interactive Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=RSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=RSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();