Gauzy Ltd. (GAUZ) Change in Accured Expenses (2023 - 2025)
Gauzy (GAUZ) posted Change in Accured Expenses of $3.5 million for Q2 2025, compared with $211,000 a year earlier.
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Analysis
Gauzy Ltd. (GAUZ) Change in Accured Expenses (2023 - 2025) Analysis & Trends
For the trailing twelve months through Jun 30, 2025, Change in Accured Expenses at Gauzy was $349,000, down 77.6% year-over-year; for FY2024, it was -$1.75 million.
- In prior years, Gauzy's Change in Accured Expenses was $2.87 million in FY2023.
- The Q2 2025 figure stands as the highest quarterly Change in Accured Expenses in data going back to Q3 2023.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$1.39 million (Q1 2025), -$737,000 (Q4 2024) and -$1.02 million (Q3 2024).
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 3.50 Mn |
| Mar 31, 2025 | -1.39 Mn |
| Dec 31, 2024 | -737,000.00 |
| Sep 30, 2024 | -2.34 Mn |
| Jun 30, 2024 | 1.53 Mn |
| Mar 31, 2024 | -200,000.00 |
| Dec 31, 2023 | 1.15 Mn |
| Sep 30, 2023 | 48,000.00 |
API Access
Gauzy Ltd. Change in Accured 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=change-in-accured-expenses&ticker=GAUZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=GAUZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();