Taitron Components Inc (TAIT) Accumulated Expenses (2020 - 2025)
Taitron Components' Accumulated Expenses was $1.26 million in Q3 2025, up 58.6% from $792,000 a year earlier but down 20.5% from the prior quarter.
Taitron Components Inc (TAIT) Accumulated Expenses (2020 - 2025) Analysis & Trends
At the end of FY2024, Accumulated Expenses at Taitron Components came in at $822,000, down 15.2% from FY2023.
- Accumulated Expenses shows a four-year compound annual growth rate of 16.5% (FY2020 to FY2024).
- In earlier years, Accumulated Expenses was $969,000 in FY2023 (+22.7%), $790,000 in FY2022 (-14.5%), $924,000 in FY2021 (+107.2%) and $446,000 in FY2020.
- Quarterly Accumulated Expenses has moved between $446,000 (Q4 2020) and $1.58 million (Q2 2025) over five years.
- Compared with a year earlier, Accumulated Expenses was higher in four of the last eight quarters, with growth averaging 18.7%.
- The best year-over-year quarter for Accumulated Expenses over five years was Q2 2025 (growth of 122.4%); the worst was Q1 2025 (a decline of 20.9%).
- Per Business Quant data, TAIT's Accumulated Expenses in the three quarters before Q3 2025 was $1.58 million (Q2 2025), $706,000 (Q1 2025) and $822,000 (Q4 2024).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 1.53 Mn |
| Jun 30, 2025 | 1.88 Mn |
| Mar 31, 2025 | 706,000.00 |
| Dec 31, 2024 | 822,000.00 |
| Sep 30, 2024 | 792,000.00 |
| Jun 30, 2024 | 710,000.00 |
| Mar 31, 2024 | 892,000.00 |
| Dec 31, 2023 | 969,000.00 |
| Sep 30, 2023 | 887,000.00 |
| Jun 30, 2023 | 673,000.00 |
| Mar 31, 2023 | 1.02 Mn |
| Dec 31, 2022 | 790,000.00 |
| Dec 31, 2021 | 924,000.00 |
| Dec 31, 2020 | 446,000.00 |
Taitron Components 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=TAIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "TAIT", "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=TAIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();