Life Time Group Holdings (LTH) Operating Expenses (2020 - 2026)
Life Time Group Holdings' Operating Expenses came in at $716.29 million for Q2 2026, up 9.7% from $653.02 million a year earlier and up 9.5% from the prior quarter.
Life Time Group Holdings (LTH) Operating Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Life Time Group Holdings reported Operating Expenses of $2.63 billion, up 8.5% year-over-year; for FY2025, it came in at $2.51 billion, up 11.1% from FY2024.
- Operating Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 14.0% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $2.26 billion in FY2024 (+13.7%), $1.99 billion in FY2023 (+16.3%), $1.71 billion in FY2022 (-5.6%) and $1.81 billion in FY2021 (+38.7%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses in data going back to Q3 2020.
- Year-over-year, Operating Expenses has increased for 14 consecutive quarters, with growth averaging 11.3% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2021 (growth of 126.8%), and the weakest in Q4 2022 (a decline of 38.8%).
- Business Quant data shows LTH's Operating Expenses at $653.86 million (Q1 2026), $615.57 million (Q4 2025) and $647 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Las Vegas Sands | 25.05 Bn | 11.15 Bn | 1.48 Bn | 2.54 Bn |
| 2 | Flutter Entertainment | 13.32 Bn | 6.69 Bn | 1.71 Bn | 845.00 Mn |
| 3 | Madison Square Garden Sports | 9.77 Bn | 9.37 Bn | 119.21 Mn | 86.28 Mn |
| 4 | DraftKings | 9.57 Bn | 5.23 Bn | 551.45 Mn | 297.09 Mn |
| 5 | Life Time Group Holdings | 9.03 Bn | 8.26 Bn | 412.26 Mn | 716.29 Mn |
| 6 | Wynn Resorts | 7.89 Bn | 2.18 Bn | 758.95 Mn | 1.56 Bn |
| 7 | MGM Resorts International | 7.50 Bn | -1.53 Bn | 1.98 Bn | 3.97 Bn |
| 8 | Light & Wonder | 7.12 Bn | 6.43 Bn | 618.00 Mn | 325.00 Mn |
| 9 | Caesars Entertainment | 5.97 Bn | 2.41 Bn | 1.50 Bn | 2.48 Bn |
| 10 | Churchill Downs | 5.75 Bn | 4.98 Bn | 419.00 Mn | 623.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 716.29 Mn |
| Mar 31, 2026 | 653.86 Mn |
| Dec 31, 2025 | 615.57 Mn |
| Sep 30, 2025 | 647.00 Mn |
| Jun 30, 2025 | 653.02 Mn |
| Mar 31, 2025 | 598.37 Mn |
| Dec 31, 2024 | 576.31 Mn |
| Sep 30, 2024 | 599.54 Mn |
| Jun 30, 2024 | 563.01 Mn |
| Mar 31, 2024 | 524.66 Mn |
| Dec 31, 2023 | 500.17 Mn |
| Sep 30, 2023 | 538.43 Mn |
| Jun 30, 2023 | 509.32 Mn |
| Mar 31, 2023 | 443.47 Mn |
| Dec 31, 2022 | 427.66 Mn |
| Sep 30, 2022 | 440.65 Mn |
| Jun 30, 2022 | 440.46 Mn |
| Mar 31, 2022 | 403.17 Mn |
| Dec 31, 2021 | 698.81 Mn |
| Sep 30, 2021 | 402.59 Mn |
Life Time Group Holdings Operating 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=operating-expenses&ticker=LTH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=LTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();