Xponential Fitness (XPOF) Cash & Equivalents (2020 - 2026)
Xponential Fitness' Cash & Equivalents was $24.99 million in Q2 2026, down 35.4% from $38.68 million a year earlier but up 16.4% from the prior quarter.
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Analysis
Xponential Fitness (XPOF) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Xponential Fitness came in at $45.86 million, up 40.1% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of 32.3% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $32.74 million in FY2024 (-11.7%), $37.09 million in FY2023 (-0.7%), $37.37 million in FY2022 (+75.3%) and $21.32 million in FY2021 (+88.7%).
- Quarterly Cash & Equivalents has moved between $15.75 million (Q1 2022) and $51.88 million (Q3 2023) over five years.
- Compared with a year earlier, Cash & Equivalents was higher in four of the last eight quarters, with growth averaging 3.9%.
- The best year-over-year quarter for Cash & Equivalents over five years was Q3 2021 (growth of 133.9%); the worst was Q1 2026 (a decline of 49.6%).
- Per Business Quant data, XPOF's Cash & Equivalents in the three quarters before Q2 2026 was $21.47 million (Q1 2026), $45.86 million (Q4 2025) and $41.46 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Wynn Resorts | 44.86 Bn | 38.23 Bn | 655.12 Mn | 1.64 Bn |
| 2 | Vail Resorts | 28.33 Bn | 27.04 Bn | - | 231.35 Mn |
| 3 | Las Vegas Sands | 25.59 Bn | 12.41 Bn | 1.47 Bn | 2.86 Bn |
| 4 | DraftKings | 17.25 Bn | 13.04 Bn | 429.05 Mn | 1.10 Bn |
| 5 | Flutter Entertainment | 14.34 Bn | 7.97 Bn | 1.52 Bn | 1.71 Bn |
| 6 | Life Time Group Holdings | 10.65 Bn | 9.82 Bn | 419.01 Mn | 286.21 Mn |
| 7 | MGM Resorts International | 8.32 Bn | -116.89 Mn | 1.73 Bn | 2.40 Bn |
| 8 | MSG Knickerbockers | 7.63 Bn | 7.24 Bn | 36.67 Mn | 40.05 Mn |
| 9 | Light & Wonder | 7.12 Bn | 6.42 Bn | 623.00 Mn | 139.00 Mn |
| 10 | Xponential Fitness | 193.89 Mn | 20.84 Mn | 54.80 Mn | 27.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 27.18 Mn |
| Jun 30, 2026 | 24.99 Mn |
| Mar 31, 2026 | 21.47 Mn |
| Dec 31, 2025 | 45.86 Mn |
| Sep 30, 2025 | 41.46 Mn |
| Jun 30, 2025 | 38.68 Mn |
| Mar 31, 2025 | 42.57 Mn |
| Dec 31, 2024 | 32.74 Mn |
| Sep 30, 2024 | 37.77 Mn |
| Jun 30, 2024 | 26.02 Mn |
| Mar 31, 2024 | 27.22 Mn |
| Dec 31, 2023 | 37.09 Mn |
| Sep 30, 2023 | 51.88 Mn |
| Jun 30, 2023 | 40.19 Mn |
| Mar 31, 2023 | 28.14 Mn |
| Dec 31, 2022 | 37.37 Mn |
| Sep 30, 2022 | 30.90 Mn |
| Jun 30, 2022 | 29.27 Mn |
| Mar 31, 2022 | 15.75 Mn |
| Dec 31, 2021 | 21.32 Mn |
API Access
Xponential Fitness Cash & Equivalents 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=cash-and-equivalents&ticker=XPOF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=XPOF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();