Xponential Fitness (XPOF) Other Operating Expenses (2020 - 2026)
Xponential Fitness (XPOF) posted Other Operating Expenses of $10.29 million for Q2 2026, up 458.8% from $1.84 million a year earlier and up 2.1% from the prior quarter.
Xponential Fitness (XPOF) Other Operating Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Xponential Fitness was $51.81 million, down 18.2% year-over-year; for FY2025, it was $56.11 million, up 4.2% from FY2024.
- Annual Other Operating Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 3.9% (FY2020 to FY2025).
- In prior years, Xponential Fitness' Other Operating Expenses was $53.84 million in FY2024 (+81.6%), $29.64 million in FY2023 (+6.0%) and $27.96 million in FY2022.
- Quarterly Other Operating Expenses has run from a low of $554,000 in Q1 2023 to a high of $28.56 million in Q4 2025 over five years.
- On a year-over-year basis, Other Operating Expenses increased in four of the last eight quarters, with growth averaging 159.6%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q1 2024, with growth of 939.2%; the weakest was Q3 2025, with a decline of 81.1%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $10.08 million (Q1 2026), $28.56 million (Q4 2025) and $2.89 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Las Vegas Sands | 23.88 Bn | 9.98 Bn | 1.48 Bn |
| 2 | Flutter Entertainment | 14.26 Bn | 7.63 Bn | 1.71 Bn |
| 3 | DraftKings | 10.31 Bn | 5.97 Bn | 551.45 Mn |
| 4 | Madison Square Garden Sports | 9.40 Bn | 8.99 Bn | 119.21 Mn |
| 5 | Life Time Group Holdings | 9.34 Bn | 8.57 Bn | 412.26 Mn |
| 6 | Wynn Resorts | 7.72 Bn | 2.01 Bn | 758.95 Mn |
| 7 | MGM Resorts International | 7.51 Bn | -1.53 Bn | 1.98 Bn |
| 8 | Light & Wonder | 7.12 Bn | 6.43 Bn | 618.00 Mn |
| 9 | Caesars Entertainment | 5.93 Bn | 2.38 Bn | 1.50 Bn |
| 10 | Xponential Fitness | 177.16 Mn | 43.38 Mn | 56.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.98 Mn |
| Mar 31, 2026 | 18.51 Mn |
| Dec 31, 2025 | 30.52 Mn |
| Sep 30, 2025 | 44.66 Mn |
| Jun 30, 2025 | 891,000.00 |
| Mar 31, 2025 | 1.08 Mn |
| Dec 31, 2024 | 85,000.00 |
| Sep 30, 2024 | 51,000.00 |
| Jun 30, 2024 | 253,000.00 |
| Mar 31, 2024 | 609,000.00 |
| Dec 31, 2023 | 96,000.00 |
| Sep 30, 2023 | 1.85 Mn |
| Jun 30, 2023 | 698,000.00 |
| Mar 31, 2023 | 554,000.00 |
| Dec 31, 2022 | 523,000.00 |
| Dec 31, 2021 | 20.40 Mn |
| Sep 30, 2021 | 16.31 Mn |
| Jun 30, 2021 | 13.93 Mn |
| Mar 31, 2021 | 11.62 Mn |
| Dec 31, 2020 | 10.72 Mn |
Xponential Fitness Other 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=other-operating-expenses&ticker=XPOF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=XPOF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();