Made In Usa (USDW) Prepaid Assets (2023 - 2026)
Made In Usa's Prepaid Assets came in at $1,250 for fiscal Q4 2026 (quarter ended Feb 28, 2026), down 95.5% from $27,500 a year earlier and down 66.7% from the prior quarter.
Made In Usa (USDW) Prepaid Assets (2023 - 2026) Analysis & Trends
Going back to fiscal Q4 2023, Made In Usa's Prepaid Assets data covers 10 quarters.
- Prepaid Assets carries a three-year compound annual growth rate of -43.7% (FY2023 to FY2026).
- Going back by fiscal year, Prepaid Assets was $27,500 in FY2025 (-54.8%), $60,800 in FY2024 (+768.6%) and $7,000 in FY2023.
- The fiscal Q4 2026 figure represents the lowest quarterly Prepaid Assets in data going back to fiscal Q4 2023.
- Year-over-year, Prepaid Assets has declined for five consecutive quarters, with an average decline of 82.8% over the last five quarters.
- Business Quant data shows USDW's Prepaid Assets at $3,750 (Q3 2026), $5,625 (Q2 2026) and $3,000 (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn |
| 10 | Made In Usa | 89.81 Mn | 89.81 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Feb 28, 2026 | 1,250.00 |
| Nov 30, 2025 | 3,750.00 |
| Aug 31, 2025 | 5,625.00 |
| May 31, 2025 | 3,000.00 |
| Feb 28, 2025 | 27,500.00 |
| Nov 30, 2024 | 32,000.00 |
| Aug 31, 2024 | 36,500.00 |
| May 31, 2024 | 33,100.00 |
| Feb 29, 2024 | 60,800.00 |
| Feb 28, 2023 | 7,000.00 |
Made In Usa Prepaid Assets 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=prepaid-assets&ticker=USDW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "ticker": "USDW", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=prepaid-assets&ticker=USDW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();