Xponential Fitness (XPOF) EBITDA (2020 - 2026)
Xponential Fitness' EBITDA was $11.28 million in Q2 2026, down 36.6% from $17.8 million a year earlier and down 26.3% from the prior quarter.
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Analysis
Xponential Fitness (XPOF) EBITDA (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Xponential Fitness' EBITDA was $28.02 million through Jun 30, 2026; for FY2025, it was $31.88 million.
- EBITDA shows a five-year compound annual growth rate of 15.6% (FY2020 to FY2025).
- In earlier years, EBITDA was -$35.9 million in FY2024, $51.79 million in FY2023 (+80.8%), $28.64 million in FY2022 and -$20.65 million in FY2021.
- Quarterly EBITDA has moved between -$47.38 million (Q4 2024) and $40.74 million (Q2 2023) over five years.
- Per Business Quant data, XPOF's EBITDA in the three quarters before Q2 2026 was $15.3 million (Q1 2026), -$5.8 million (Q4 2025) and $7.25 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Las Vegas Sands | 24.82 Bn | 11.24 Bn | 1.48 Bn | 989.00 Mn |
| 2 | DraftKings | 17.42 Bn | 13.08 Bn | 551.45 Mn | 12.17 Mn |
| 3 | Flutter Entertainment | 12.92 Bn | 6.67 Bn | 1.71 Bn | 255.00 Mn |
| 4 | Madison Square Garden Sports | 9.97 Bn | 9.56 Bn | 119.21 Mn | 32.94 Mn |
| 5 | Life Time Group Holdings | 8.95 Bn | 8.18 Bn | 412.26 Mn | 233.06 Mn |
| 6 | Wynn Resorts | 8.09 Bn | 1.64 Bn | 758.95 Mn | 463.01 Mn |
| 7 | MGM Resorts International | 7.93 Bn | -255.39 Mn | 1.98 Bn | 785.95 Mn |
| 8 | Caesars Entertainment | 6.03 Bn | 2.66 Bn | 1.50 Bn | 868.00 Mn |
| 9 | Super Group (SGHC) | 5.86 Bn | 3.85 Bn | - | 133.00 Mn |
| 10 | Xponential Fitness | 185.24 Mn | -3.21 Mn | 56.19 Mn | 11.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.28 Mn |
| Mar 31, 2026 | 15.30 Mn |
| Dec 31, 2025 | -5.80 Mn |
| Sep 30, 2025 | 7.25 Mn |
| Jun 30, 2025 | 17.80 Mn |
| Mar 31, 2025 | 12.64 Mn |
| Dec 31, 2024 | -47.38 Mn |
| Sep 30, 2024 | -2.38 Mn |
| Jun 30, 2024 | 1.43 Mn |
| Mar 31, 2024 | 12.43 Mn |
| Dec 31, 2023 | 2.36 Mn |
| Sep 30, 2023 | 11.69 Mn |
| Jun 30, 2023 | 40.74 Mn |
| Mar 31, 2023 | -3.01 Mn |
| Dec 31, 2022 | 6.48 Mn |
| Sep 30, 2022 | -6.28 Mn |
| Jun 30, 2022 | 39.72 Mn |
| Mar 31, 2022 | -11.28 Mn |
| Dec 31, 2021 | -23.58 Mn |
| Sep 30, 2021 | -913,000.00 |
API Access
Xponential Fitness 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=XPOF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=XPOF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();