Biddance AI Systems (BDAI) Raw Materials (2019 - 2026)
Biddance AI Systems (BDAI) posted Raw Materials of $97,399 for Q4 2025, down 43.1% from $171,227 a year earlier.
Analysis
Biddance AI Systems (BDAI) Raw Materials (2019 - 2026) Analysis & Trends
Since Q4 2019, Biddance AI Systems has reported Raw Materials for 9 quarters.
- Annual Raw Materials has declined for three consecutive years, with a five-year compound annual growth rate of -6.4% (FY2020 to FY2025).
- In prior years, Biddance AI Systems' Raw Materials was $171,227 in FY2024 (-27.7%), $236,739 in FY2023 (-46.5%), $442,681 in FY2022 (+5.5%) and $419,726 in FY2021 (+209.8%).
- The Q4 2025 figure stands as the lowest quarterly Raw Materials in data going back to Q4 2019.
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 | 106,150.00 |
| Dec 31, 2025 | 97,399.00 |
| Jun 30, 2025 | 161,833.00 |
| Dec 31, 2024 | 171,227.00 |
| Jun 30, 2024 | 209,513.00 |
| Dec 31, 2023 | 236,739.00 |
| Dec 31, 2022 | 442,681.00 |
| Dec 31, 2021 | 419,726.00 |
| Dec 31, 2020 | 135,491.00 |
| Dec 31, 2019 | 521,032.00 |
API Access
Biddance AI Systems Raw Materials 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=raw-materials&ticker=BDAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "raw-materials", "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=raw-materials&ticker=BDAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();