Life Time Group Holdings (LTH) Selling, General & Administrative (2020 - 2026)
Analysis
Life Time Group Holdings (LTH) Selling, General & Administrative (2020 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Las Vegas Sands | 26.06 Bn | 12.66 Bn | 1.47 Bn | 333.00 Mn |
| 2 | Flutter Entertainment | 14.35 Bn | 7.74 Bn | 1.52 Bn | 650.00 Mn |
| 3 | Life Time Group Holdings | 10.48 Bn | 9.65 Bn | 419.01 Mn | 65.75 Mn |
| 4 | DraftKings | 9.19 Bn | 4.85 Bn | 551.45 Mn | 169.44 Mn |
| 5 | Wynn Resorts | 8.47 Bn | 2.61 Bn | 655.12 Mn | 276.41 Mn |
| 6 | MGM Resorts International | 8.13 Bn | -1.17 Bn | 1.73 Bn | 1.23 Bn |
| 7 | Madison Square Garden Sports | 7.83 Bn | 7.42 Bn | 119.21 Mn | 85.44 Mn |
| 8 | Light & Wonder | 7.12 Bn | 6.42 Bn | 623.00 Mn | 212.00 Mn |
| 9 | Churchill Downs | 6.86 Bn | 6.09 Bn | 207.00 Mn | 60.00 Mn |
| 10 | Caesars Entertainment | 5.96 Bn | 2.38 Bn | 1.44 Bn | 517.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 65.75 Mn |
| Jun 30, 2026 | 66.03 Mn |
| Mar 31, 2026 | 59.63 Mn |
| Dec 31, 2025 | 65.25 Mn |
| Sep 30, 2025 | 59.84 Mn |
| Jun 30, 2025 | 61.67 Mn |
| Mar 31, 2025 | 57.85 Mn |
| Dec 31, 2024 | 61.21 Mn |
| Sep 30, 2024 | 57.74 Mn |
| Jun 30, 2024 | 53.25 Mn |
| Mar 31, 2024 | 48.85 Mn |
| Dec 31, 2023 | 54.13 Mn |
| Sep 30, 2023 | 51.67 Mn |
| Jun 30, 2023 | 52.84 Mn |
| Mar 31, 2023 | 42.50 Mn |
| Dec 31, 2022 | 38.33 Mn |
| Sep 30, 2022 | 57.14 Mn |
| Jun 30, 2022 | 51.95 Mn |
| Mar 31, 2022 | 66.56 Mn |
| Dec 31, 2021 | 353.65 Mn |
API Access
Life Time Group Holdings Selling, General & Administrative 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=selling-general-and-administrative&ticker=LTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "LTH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=LTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();