Xponential Fitness (XPOF) Revenue (2020 - 2026)
Xponential Fitness' Revenue came in at $65.97 million for Q2 2026, down 13.4% from $76.21 million a year earlier but up 8.7% from the prior quarter.
Xponential Fitness (XPOF) Revenue (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Xponential Fitness reported Revenue of $288.47 million, down 9.0% year-over-year; for FY2025, it came in at $314.88 million, down 1.7% from FY2024.
- Revenue carries a five-year compound annual growth rate of 24.2% (FY2020 to FY2025).
- Going back by year, Revenue was $320.35 million in FY2024 (+0.8%), $317.94 million in FY2023 (+30.7%), $243.2 million in FY2022 (+56.8%) and $155.08 million in FY2021 (+45.5%).
- The five-year range for quarterly Revenue is $40.87 million (Q3 2021) to $89.47 million (Q4 2023).
- Year-over-year, Revenue has declined for seven consecutive quarters, with an average decline of 6.0% over the last eight quarters.
- The fastest year-over-year change in Revenue over five years came in Q4 2021 (growth of 77.8%), and the weakest in Q1 2026 (a decline of 21.0%).
- Business Quant data shows XPOF's Revenue at $60.71 million (Q1 2026), $82.96 million (Q4 2025) and $78.82 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Las Vegas Sands | 24.82 Bn | 11.24 Bn | 1.48 Bn | 3.15 Bn |
| 2 | DraftKings | 17.42 Bn | 13.08 Bn | 551.45 Mn | 1.44 Bn |
| 3 | Flutter Entertainment | 12.92 Bn | 6.67 Bn | 1.71 Bn | 4.33 Bn |
| 4 | Madison Square Garden Sports | 9.97 Bn | 9.56 Bn | 119.21 Mn | 278.75 Mn |
| 5 | Life Time Group Holdings | 8.95 Bn | 8.18 Bn | 412.26 Mn | 866.00 Mn |
| 6 | Wynn Resorts | 8.09 Bn | 1.64 Bn | 758.95 Mn | 1.86 Bn |
| 7 | MGM Resorts International | 7.93 Bn | -255.39 Mn | 1.98 Bn | 4.45 Bn |
| 8 | Caesars Entertainment | 6.03 Bn | 2.66 Bn | 1.50 Bn | 2.99 Bn |
| 9 | Super Group (SGHC) | 5.86 Bn | 3.85 Bn | - | 684.00 Mn |
| 10 | Xponential Fitness | 185.24 Mn | -3.21 Mn | 56.19 Mn | 65.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 65.97 Mn |
| Mar 31, 2026 | 60.71 Mn |
| Dec 31, 2025 | 82.96 Mn |
| Sep 30, 2025 | 78.82 Mn |
| Jun 30, 2025 | 76.21 Mn |
| Mar 31, 2025 | 76.88 Mn |
| Dec 31, 2024 | 83.22 Mn |
| Sep 30, 2024 | 80.53 Mn |
| Jun 30, 2024 | 76.90 Mn |
| Mar 31, 2024 | 79.69 Mn |
| Dec 31, 2023 | 89.47 Mn |
| Sep 30, 2023 | 80.44 Mn |
| Jun 30, 2023 | 77.34 Mn |
| Mar 31, 2023 | 70.69 Mn |
| Dec 31, 2022 | 69.51 Mn |
| Sep 30, 2022 | 63.76 Mn |
| Jun 30, 2022 | 59.56 Mn |
| Mar 31, 2022 | 50.36 Mn |
| Dec 31, 2021 | 49.37 Mn |
| Sep 30, 2021 | 40.87 Mn |
Xponential Fitness Revenue 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=revenue&ticker=XPOF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "ticker": "XPOF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=revenue&ticker=XPOF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();