Locafy (LCFY) Operating Expenses (2022 - 2026)
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Analysis
Locafy (LCFY) Operating Expenses (2022 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -9,032.49 |
| Jun 30, 2025 | -16,245.23 |
| Mar 31, 2025 | -16,411.55 |
| Sep 30, 2024 | -18,588.23 |
| Jun 30, 2024 | -17,371.89 |
| Mar 31, 2024 | -18,407.16 |
| Sep 30, 2023 | -11,437.42 |
| Jun 30, 2023 | -19,344.36 |
| Mar 31, 2023 | -16,449.57 |
| Sep 30, 2022 | -11,067.93 |
API Access
Locafy 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=LCFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "LCFY", "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=LCFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();