Freeze Tag, Inc. (FRZT) Accumulated Expenses (2010 - 2025)
Freeze Tag's Accumulated Expenses was $451,304 in Q3 2025, down 10.1% from $501,801 a year earlier and down 10.1% from the prior quarter.
Analysis
Freeze Tag, Inc. (FRZT) Accumulated Expenses (2010 - 2025) Analysis & Trends
At the end of FY2024, Accumulated Expenses at Freeze Tag came in at $488,322, down 0.3% from FY2023.
- Accumulated Expenses shows a five-year compound annual growth rate of 1.3% (FY2019 to FY2024).
- In earlier years, Accumulated Expenses was $489,639 in FY2023 (-0.9%), $493,962 in FY2022 (+1.0%), $488,935 in FY2021 (+1.8%) and $480,358 in FY2020 (+4.9%).
- The Q3 2025 figure marks the lowest quarterly Accumulated Expenses since Q4 2017.
- Compared with a year earlier, Accumulated Expenses was higher in four of the last eight quarters, with an average decline of 1.5%.
- The best year-over-year quarter for Accumulated Expenses over five years was Q4 2020 (growth of 4.9%); the worst was Q3 2025 (a decline of 10.1%).
- Per Business Quant data, FRZT's Accumulated Expenses in the three quarters before Q3 2025 was $501,986 (Q2 2025), $495,568 (Q1 2025) and $488,322 (Q4 2024).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 451,304.00 |
| Jun 30, 2025 | 501,986.00 |
| Mar 31, 2025 | 495,568.00 |
| Dec 31, 2024 | 488,322.00 |
| Sep 30, 2024 | 501,801.00 |
| Jun 30, 2024 | 501,026.00 |
| Mar 31, 2024 | 490,078.00 |
| Dec 31, 2023 | 489,639.00 |
| Sep 30, 2023 | 501,152.00 |
| Jun 30, 2023 | 500,669.00 |
| Mar 31, 2023 | 502,145.00 |
| Dec 31, 2022 | 493,962.00 |
| Sep 30, 2022 | 495,435.00 |
| Jun 30, 2022 | 492,353.00 |
| Mar 31, 2022 | 491,689.00 |
| Dec 31, 2021 | 488,935.00 |
| Sep 30, 2021 | 500,108.00 |
| Jun 30, 2021 | 497,281.00 |
| Mar 31, 2021 | 489,630.00 |
| Dec 31, 2020 | 480,358.00 |
API Access
Freeze Tag, Inc. 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=accumulated-expenses&ticker=FRZT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "FRZT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=FRZT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();