Life Time Group Holdings (LTH) EBITDA (2020 - 2026)
Life Time Group Holdings (LTH) posted EBITDA of $233.06 million for Q2 2026, up 28.5% from $181.44 million a year earlier and up 8.1% from the prior quarter.
Life Time Group Holdings (LTH) EBITDA (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Life Time Group Holdings was $866.2 million, up 27.4% year-over-year; for FY2025, it came in at $777.64 million, up 23.0% from FY2024.
- Annual EBITDA has increased for three consecutive years.
- In prior years, Life Time Group Holdings' EBITDA was $632.16 million in FY2024 (+34.6%), $469.61 million in FY2023 (+38.3%), $339.5 million in FY2022 and -$260.06 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly EBITDA in data going back to Q3 2020.
- On a year-over-year basis, EBITDA has increased in each of the last 11 quarters, with growth averaging 27.4% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q3 2022, with growth of 177.3%; the weakest was Q3 2023, with a decline of 1.6%.
- According to Business Quant data, EBITDA for the three prior quarters was $215.53 million (Q1 2026), $206.87 million (Q4 2025) and $210.74 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Las Vegas Sands | 25.05 Bn | 11.15 Bn | 1.48 Bn | 1.01 Bn |
| 2 | Flutter Entertainment | 13.32 Bn | 6.69 Bn | 1.71 Bn | 255.00 Mn |
| 3 | Madison Square Garden Sports | 9.77 Bn | 9.37 Bn | 119.21 Mn | 32.94 Mn |
| 4 | DraftKings | 9.57 Bn | 5.23 Bn | 551.45 Mn | 12.17 Mn |
| 5 | Life Time Group Holdings | 9.03 Bn | 8.26 Bn | 412.26 Mn | 233.99 Mn |
| 6 | Wynn Resorts | 7.89 Bn | 2.18 Bn | 758.95 Mn | 473.82 Mn |
| 7 | MGM Resorts International | 7.50 Bn | -1.53 Bn | 1.98 Bn | 792.27 Mn |
| 8 | Light & Wonder | 7.12 Bn | 6.43 Bn | 618.00 Mn | 340.00 Mn |
| 9 | Caesars Entertainment | 5.97 Bn | 2.41 Bn | 1.50 Bn | 868.00 Mn |
| 10 | Churchill Downs | 5.75 Bn | 4.98 Bn | 419.00 Mn | 416.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 233.99 Mn |
| Mar 31, 2026 | 216.46 Mn |
| Dec 31, 2025 | 207.80 Mn |
| Sep 30, 2025 | 211.66 Mn |
| Jun 30, 2025 | 182.34 Mn |
| Mar 31, 2025 | 179.50 Mn |
| Dec 31, 2024 | 157.70 Mn |
| Sep 30, 2024 | 165.03 Mn |
| Jun 30, 2024 | 176.47 Mn |
| Mar 31, 2024 | 139.96 Mn |
| Dec 31, 2023 | 124.96 Mn |
| Sep 30, 2023 | 112.31 Mn |
| Jun 30, 2023 | 112.61 Mn |
| Mar 31, 2023 | 127.55 Mn |
| Dec 31, 2022 | 104.17 Mn |
| Sep 30, 2022 | 114.11 Mn |
| Jun 30, 2022 | 79.96 Mn |
| Mar 31, 2022 | 49.14 Mn |
| Dec 31, 2021 | -278.33 Mn |
| Sep 30, 2021 | 43.07 Mn |
Life Time Group Holdings EBITDA 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=ebitda&ticker=LTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=LTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();