Gauzy (GAUZ) Interest Expenses (2023 - 2025)
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Analysis
Gauzy (GAUZ) Interest Expenses (2023 - 2025) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | -2.30 Mn |
| Mar 31, 2025 | -1.88 Mn |
| Dec 31, 2024 | -2.62 Mn |
| Sep 30, 2024 | -1.24 Mn |
| Jun 30, 2024 | -3.21 Mn |
| Mar 31, 2024 | -4.45 Mn |
| Dec 31, 2023 | -4.47 Mn |
| Sep 30, 2023 | -4.09 Mn |
| Jun 30, 2023 | -1.99 Mn |
API Access
Gauzy Interest 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=interest-expenses&ticker=GAUZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=GAUZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();