Lingerie Fighting Championships (BOTY) Other Accumulated Expenses (2011 - 2026)
Lingerie Fighting Championships (BOTY) posted Other Accumulated Expenses of $1.28 million for Q2 2026, up 21.1% from $1.06 million a year earlier and up 7.4% from the prior quarter.
Lingerie Fighting Championships (BOTY) Other Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2025, Lingerie Fighting Championships' Other Accumulated Expenses came in at $1.12 million, up 21.4% from FY2024.
- Annual Other Accumulated Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 23.6% (FY2020 to FY2025).
- In prior years, Lingerie Fighting Championships' Other Accumulated Expenses was $922,924 in FY2024 (+38.0%), $669,015 in FY2023 (+51.1%), $442,888 in FY2022 (+91.0%) and $231,839 in FY2021 (-40.4%).
- The Q2 2026 figure stands as the highest quarterly Other Accumulated Expenses in data going back to Q4 2016.
- On a year-over-year basis, Other Accumulated Expenses has increased in each of the last 18 quarters, with growth averaging 30.7% over the last eight quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q4 2022, with growth of 91.0%; the weakest was Q4 2021, with a decline of 40.4%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $1.2 million (Q1 2026), $1.12 million (Q4 2025) and $1.14 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Live Nation Entertainment | 39.78 Bn | 8.85 Bn | 1.94 Bn |
| 2 | TKO Group Holdings | 33.44 Bn | 30.40 Bn | 990.96 Mn |
| 3 | Liberty Media | 18.71 Bn | 14.03 Bn | 329.00 Mn |
| 4 | Liberty Live Holdings | 8.81 Bn | 6.86 Bn | 30.26 Mn |
| 5 | Cinemark Holdings | 4.18 Bn | 797.64 Mn | - |
| 6 | Madison Square Garden Entertainment | 3.23 Bn | 2.43 Bn | 75.84 Mn |
| 7 | Amc Entertainment Holdings | 1.99 Bn | 80.86 Mn | 1.05 Bn |
| 8 | Emerald Holding | 997.46 Mn | 523.66 Mn | 99.50 Mn |
| 9 | Marcus | 831.33 Mn | 762.92 Mn | 106.56 Mn |
| 10 | Lingerie Fighting Championships | 54,868.08 | -99,038.92 | -1,246.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.28 Mn |
| Mar 31, 2026 | 1.20 Mn |
| Dec 31, 2025 | 1.12 Mn |
| Sep 30, 2025 | 1.14 Mn |
| Jun 30, 2025 | 1.06 Mn |
| Mar 31, 2025 | 989,586.00 |
| Dec 31, 2024 | 922,924.00 |
| Sep 30, 2024 | 856,135.00 |
| Jun 30, 2024 | 790,626.00 |
| Mar 31, 2024 | 728,957.00 |
| Dec 31, 2023 | 669,015.00 |
| Sep 30, 2023 | 608,473.00 |
| Jun 30, 2023 | 552,569.00 |
| Mar 31, 2023 | 568,568.00 |
| Dec 31, 2022 | 442,888.00 |
| Sep 30, 2022 | 522,668.00 |
| Jun 30, 2022 | 500,168.00 |
| Mar 31, 2022 | 482,668.00 |
| Dec 31, 2021 | 231,839.00 |
| Sep 30, 2021 | 446,168.00 |
Lingerie Fighting Championships Other Accumulated 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-accumulated-expenses&ticker=BOTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "BOTY", "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-accumulated-expenses&ticker=BOTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();