Gauzy Ltd. (GAUZ) Accumulated Expenses (2023 - 2025)
Gauzy (GAUZ) reported Accumulated Expenses of $8.71 million for Q2 2025, up 26.3% from $6.9 million a year earlier and up 95.7% from the prior quarter.
Gauzy Ltd. (GAUZ) Accumulated Expenses (2023 - 2025) Analysis & Trends
At the end of FY2024, Gauzy posted Accumulated Expenses of $5.81 million, down 14.2% from FY2023.
- By year, Accumulated Expenses came in at $6.77 million in FY2023.
- Per Business Quant data, the three quarters before Q2 2025 came in at $4.45 million (Q1 2025), $5.81 million (Q4 2024) and $5.88 million (Q3 2024).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 8.71 Mn |
| Mar 31, 2025 | 4.45 Mn |
| Dec 31, 2024 | 5.81 Mn |
| Sep 30, 2024 | 5.88 Mn |
| Jun 30, 2024 | 6.90 Mn |
| Dec 31, 2023 | 6.77 Mn |
Gauzy Ltd. 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=accumulated-expenses&ticker=GAUZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=GAUZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();