Gauzy (GAUZ) EPS (Diluted) (2023 - 2025)
Gauzy (GAUZ) reported EPS (Diluted) of -$33.54 for Q2 2025, compared with -$87.09 a year earlier.
Analysis
Gauzy (GAUZ) EPS (Diluted) (2023 - 2025) Analysis & Trends
Over the twelve months ended Jun 30, 2025, Gauzy's EPS (Diluted) came in at -$40,248; for FY2024, it came in at -$85,986.
- By year, EPS (Diluted) came in at -$358,256 in FY2023.
- Five-year quarterly EPS (Diluted) spans a low of -$90,436 in Q4 2023 and a high of -$27.74 in Q3 2024.
- Per Business Quant data, the three quarters before Q2 2025 came in at -$15,972 (Q1 2025), -$24,233 (Q4 2024) and -$27.74 (Q3 2024).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | -33.54 |
| Mar 31, 2025 | -15,971.88 |
| Dec 31, 2024 | -24,233.20 |
| Sep 30, 2024 | -27.74 |
| Jun 30, 2024 | -87.09 |
| Mar 31, 2024 | -88,232.73 |
| Dec 31, 2023 | -90,436.25 |
API Access
Gauzy 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=GAUZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "GAUZ", "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=GAUZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();