Xponential Fitness (XPOF) Goodwill & Intangibles (2020 - 2026)
Xponential Fitness (XPOF) posted Goodwill & Intangibles of $193.02 million for Q2 2026, up 44.1% from $133.99 million a year earlier but down 0.2% from the prior quarter.
Xponential Fitness (XPOF) Goodwill & Intangibles (2020 - 2026) Analysis & Trends
At the end of FY2025, Xponential Fitness' Goodwill & Intangibles came in at $194.3 million, down 17.7% from FY2024.
- Annual Goodwill & Intangibles has declined for four consecutive years, with a five-year compound annual growth rate of -4.0% (FY2020 to FY2025).
- In prior years, Xponential Fitness' Goodwill & Intangibles was $236.18 million in FY2024 (-18.8%), $290.77 million in FY2023 (-4.0%), $302.87 million in FY2022 (-1.0%) and $305.94 million in FY2021 (+28.7%).
- Quarterly Goodwill & Intangibles has run from a low of $133.99 million in Q2 2025 to a high of $311.74 million in Q2 2022 over five years.
- On a year-over-year basis, Goodwill & Intangibles increased in 1 of the last eight quarters, with an average decline of 14.6%.
- The strongest year-over-year quarter for Goodwill & Intangibles in the past five years was Q2 2026, with growth of 44.1%; the weakest was Q2 2025, with a decline of 52.7%.
- According to Business Quant data, Goodwill & Intangibles for the three prior quarters was $193.48 million (Q1 2026), $194.3 million (Q4 2025) and $195.08 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Wynn Resorts | 44.86 Bn | 38.23 Bn | 655.12 Mn |
| 2 | Vail Resorts | 28.33 Bn | 27.04 Bn | - |
| 3 | Las Vegas Sands | 25.59 Bn | 12.41 Bn | 1.47 Bn |
| 4 | DraftKings | 17.25 Bn | 13.04 Bn | 429.05 Mn |
| 5 | Flutter Entertainment | 14.34 Bn | 7.97 Bn | 1.52 Bn |
| 6 | Life Time Group Holdings | 10.65 Bn | 9.82 Bn | 419.01 Mn |
| 7 | MGM Resorts International | 8.32 Bn | -116.89 Mn | 1.73 Bn |
| 8 | MSG Knickerbockers | 7.63 Bn | 7.24 Bn | 36.67 Mn |
| 9 | Light & Wonder | 7.12 Bn | 6.42 Bn | 623.00 Mn |
| 10 | Xponential Fitness | 193.89 Mn | 20.84 Mn | 54.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 192.99 Mn |
| Jun 30, 2026 | 193.02 Mn |
| Mar 31, 2026 | 193.48 Mn |
| Dec 31, 2025 | 194.30 Mn |
| Sep 30, 2025 | 195.08 Mn |
| Jun 30, 2025 | 133.99 Mn |
| Mar 31, 2025 | 234.61 Mn |
| Dec 31, 2024 | 236.18 Mn |
| Sep 30, 2024 | 280.79 Mn |
| Jun 30, 2024 | 283.27 Mn |
| Mar 31, 2024 | 298.05 Mn |
| Dec 31, 2023 | 290.77 Mn |
| Sep 30, 2023 | 288.11 Mn |
| Jun 30, 2023 | 295.62 Mn |
| Mar 31, 2023 | 300.39 Mn |
| Dec 31, 2022 | 302.87 Mn |
| Sep 30, 2022 | 305.42 Mn |
| Jun 30, 2022 | 311.74 Mn |
| Mar 31, 2022 | 303.61 Mn |
| Dec 31, 2021 | 305.94 Mn |
Xponential Fitness Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=XPOF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=XPOF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();