Made In Usa (USDW) EPS (Diluted) (2023 - 2026)
Made In Usa (USDW) recorded EPS (Diluted) of $0.00 in fiscal Q1 2027 (quarter ended May 31, 2026), compared with $0.00 a year earlier.
Analysis
Made In Usa (USDW) EPS (Diluted) (2023 - 2026) Analysis & Trends
Starting with fiscal Q4 2023, Made In Usa's EPS (Diluted) history includes 14 quarters.
- Across earlier fiscal years, EPS (Diluted) came in at $0.00 in FY2025, $0.00 in FY2024 and $0.00 in FY2023.
- Quarterly EPS (Diluted) has ranged from $0.00 in fiscal Q1 2026 to $0.00 in fiscal Q2 2026 over the past five years.
- Per Business Quant, the preceding three fiscal quarters came in at $0.00 (Q4 2026), $0.00 (Q3 2026) and $0.00 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 0.41 |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 1.56 |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 2.19 |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 4.29 |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 0.29 |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 2.43 |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 1.31 |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -24.45 |
| 10 | Made In Usa | 89.81 Mn | 89.81 Mn | - | 0.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 0.00 |
| Feb 28, 2026 | 0.00 |
| Nov 30, 2025 | 0.00 |
| Aug 31, 2025 | 0.00 |
| May 31, 2025 | 0.00 |
| Feb 28, 2025 | 0.00 |
| Nov 30, 2024 | 0.00 |
| Aug 31, 2024 | 0.00 |
| May 31, 2024 | 0.00 |
| Feb 29, 2024 | 0.00 |
| Nov 30, 2023 | 0.00 |
| Aug 31, 2023 | 0.00 |
| May 31, 2023 | 0.00 |
| Feb 28, 2023 | 0.00 |
API Access
Made In Usa EPS (Diluted) 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=eps-diluted&ticker=USDW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=USDW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();