Lingerie Fighting Championships (BOTY) Change in Accured Expenses (2010 - 2026)
Lingerie Fighting Championships (BOTY) reported Change in Accured Expenses of $88,675 for Q2 2026, up 23.7% from $71,704 a year earlier and up 16.3% from the prior quarter.
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Analysis
Lingerie Fighting Championships (BOTY) Change in Accured Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Lingerie Fighting Championships' Change in Accured Expenses came in at $223,638, down 17.4% year-over-year; for FY2025, it was $197,051, down 22.4% from FY2024.
- Change in Accured Expenses has a five-year compound annual growth rate of 5.2% (FY2020 to FY2025).
- By year, Change in Accured Expenses came in at $253,909 in FY2024 (+12.3%), $226,127 in FY2023 (+7.1%), $211,049 in FY2022 (+26.4%) and $166,990 in FY2021 (+9.0%).
- The Q2 2026 figure ranks as the highest quarterly Change in Accured Expenses since Q2 2021.
- The high point for year-over-year Change in Accured Expenses in five years was Q3 2022 (growth of 35.5%); the low point was Q2 2022 (a decline of 58.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $76,278 (Q1 2026), -$23,266 (Q4 2025) and $81,951 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Live Nation Entertainment | 39.78 Bn | 8.85 Bn | 1.94 Bn | 1.23 Bn |
| 2 | TKO Group Holdings | 33.44 Bn | 30.40 Bn | 990.96 Mn | 318.03 Mn |
| 3 | Liberty Media | 18.71 Bn | 14.03 Bn | 329.00 Mn | 164.00 Mn |
| 4 | Liberty Live Holdings | 8.81 Bn | 6.86 Bn | 30.26 Mn | 10.65 Mn |
| 5 | Cinemark Holdings | 4.18 Bn | 797.64 Mn | - | - |
| 6 | Madison Square Garden Entertainment | 3.23 Bn | 2.43 Bn | 75.84 Mn | -30.41 Mn |
| 7 | Amc Entertainment Holdings | 1.99 Bn | 80.86 Mn | 1.05 Bn | -27.60 Mn |
| 8 | Emerald Holding | 997.46 Mn | 523.66 Mn | 99.50 Mn | 7.30 Mn |
| 9 | Marcus | 831.33 Mn | 762.92 Mn | 106.56 Mn | 9.50 Mn |
| 10 | Lingerie Fighting Championships | 54,868.08 | -99,038.92 | -1,246.00 | 88,675.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 88,675.00 |
| Mar 31, 2026 | 76,278.00 |
| Dec 31, 2025 | -23,266.00 |
| Sep 30, 2025 | 81,951.00 |
| Jun 30, 2025 | 71,704.00 |
| Mar 31, 2025 | 66,662.00 |
| Dec 31, 2024 | 66,789.00 |
| Sep 30, 2024 | 65,509.00 |
| Jun 30, 2024 | 61,669.00 |
| Mar 31, 2024 | 59,942.00 |
| Dec 31, 2023 | 60,542.00 |
| Sep 30, 2023 | 55,904.00 |
| Jun 30, 2023 | 55,487.00 |
| Mar 31, 2023 | 54,194.00 |
| Dec 31, 2022 | 54,303.00 |
| Sep 30, 2022 | 53,808.00 |
| Jun 30, 2022 | 52,233.00 |
| Mar 31, 2022 | 50,705.00 |
| Dec 31, 2021 | 55,827.00 |
| Sep 30, 2021 | 39,707.00 |
API Access
Lingerie Fighting Championships Change in Accured 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=change-in-accured-expenses&ticker=BOTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=BOTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();