Biddance AI Systems (BDAI) Other Accumulated Expenses (2018 - 2026)
Biddance AI Systems (BDAI) recorded Other Accumulated Expenses of $1.27 million in Q4 2025, up 7.9% from $1.18 million a year earlier.
Analysis
Biddance AI Systems (BDAI) Other Accumulated Expenses (2018 - 2026) Analysis & Trends
Starting with Q4 2018, Biddance AI Systems' Other Accumulated Expenses history includes 9 quarters.
- Annual Other Accumulated Expenses has a three-year compound annual growth rate of 3.9% (FY2022 to FY2025).
- Across earlier years, Other Accumulated Expenses came in at $1.18 million in FY2024 (-3.4%), $1.22 million in FY2023 (+7.5%) and $1.14 million in FY2022.
- The Q4 2025 figure is the highest quarterly Other Accumulated Expenses in data going back to Q4 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 51.35 Bn | -77.91 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 30.16 Bn | 24.12 Bn | 1.91 Bn |
| 3 | Wipro | 22.58 Bn | 17.72 Bn | 745.00 Mn |
| 4 | Cdw | 19.64 Bn | 16.54 Bn | 1.39 Bn |
| 5 | Cgi | 18.54 Bn | 16.34 Bn | - |
| 6 | Td Synnex | 17.34 Bn | 11.50 Bn | 1.43 Bn |
| 7 | Arrow Electronics | 9.29 Bn | 8.24 Bn | 1.13 Bn |
| 8 | EPAM Systems | 8.17 Bn | 4.08 Bn | 445.94 Mn |
| 9 | ExlService Holdings | 6.55 Bn | 5.35 Bn | 241.14 Mn |
| 10 | Biddance AI Systems | 199,836.21 | -118.80 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.29 Mn |
| Dec 31, 2025 | 1.27 Mn |
| Jun 30, 2025 | 1.21 Mn |
| Dec 31, 2024 | 1.18 Mn |
| Jun 30, 2024 | 150,104.00 |
| Dec 31, 2023 | 1.22 Mn |
| Jun 30, 2023 | 1,114.00 |
| Dec 31, 2022 | 1.14 Mn |
| Dec 31, 2019 | 291,207.00 |
| Dec 31, 2018 | 317,193.00 |
API Access
Biddance AI Systems 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=BDAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "BDAI", "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=BDAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();