Gauzy (GAUZ) Operating Expenses (2023 - 2025)
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Analysis
Gauzy (GAUZ) Operating Expenses (2023 - 2025) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 16.80 Mn |
| Mar 31, 2025 | 14.43 Bn |
| Dec 31, 2024 | 15.82 Bn |
| Sep 30, 2024 | 14.32 Mn |
| Jun 30, 2024 | 14.51 Mn |
| Mar 31, 2024 | 15.85 Bn |
| Dec 31, 2023 | 14.99 Bn |
| Sep 30, 2023 | 13.88 Mn |
| Jun 30, 2023 | 12.85 Mn |
API Access
Gauzy Operating 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=operating-expenses&ticker=GAUZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=GAUZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();