Flutter Entertainment (FLUT) Gains from Sales and Divestitures (2023 - 2026)
Flutter Entertainment (FLUT) recorded Gains from Sales and Divestitures of -$4 million in Q2 2026, compared with -$3 million a year earlier.
Flutter Entertainment (FLUT) Gains from Sales and Divestitures (2023 - 2026) Analysis & Trends
On a TTM basis, Flutter Entertainment's Gains from Sales and Divestitures came in at -$17 million as of Jun 30, 2026; for FY2025, it was -$11 million.
- Across earlier years, Gains from Sales and Divestitures came in at -$7 million in FY2024 and -$5 million in FY2023.
- Quarterly Gains from Sales and Divestitures has ranged from -$10 million in Q4 2025 to $3 million in Q1 2025 over the past five years.
- Per Business Quant, the preceding three quarters came in at -$2 million (Q1 2026), -$10 million (Q4 2025) and -$1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Las Vegas Sands | 23.47 Bn | 9.89 Bn | 1.48 Bn |
| 2 | DraftKings | 16.53 Bn | 12.19 Bn | 551.45 Mn |
| 3 | Flutter Entertainment | 12.99 Bn | 6.73 Bn | 1.71 Bn |
| 4 | Madison Square Garden Sports | 9.80 Bn | 9.40 Bn | 119.21 Mn |
| 5 | Life Time Group Holdings | 9.15 Bn | 8.39 Bn | 412.26 Mn |
| 6 | Wynn Resorts | 7.85 Bn | 1.40 Bn | 758.95 Mn |
| 7 | MGM Resorts International | 7.67 Bn | -517.04 Mn | 1.98 Bn |
| 8 | Light & Wonder | 7.12 Bn | 6.43 Bn | 618.00 Mn |
| 9 | Caesars Entertainment | 6.04 Bn | 2.66 Bn | 1.50 Bn |
| 10 | Super Group (SGHC) | 5.70 Bn | 3.69 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -4.00 Mn |
| Mar 31, 2026 | -2.00 Mn |
| Dec 31, 2025 | -10.00 Mn |
| Sep 30, 2025 | -1.00 Mn |
| Jun 30, 2025 | -3.00 Mn |
| Mar 31, 2025 | 3.00 Mn |
| Dec 31, 2024 | -1.00 Mn |
| Sep 30, 2024 | -7.00 Mn |
| Jun 30, 2024 | 1.00 Mn |
| Dec 31, 2023 | -4.00 Mn |
Flutter Entertainment Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=FLUT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "ticker": "FLUT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=gains-from-sales-and-divestitures&ticker=FLUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();