Locafy (LCFY) Operating Expenses (2022 - 2026)
Locafy (LCFY) reported Operating Expenses of -$9,032 for the quarter ended Mar 31, 2026.
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Analysis
Locafy (LCFY) Operating Expenses (2022 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Locafy's Operating Expenses came in at -$93,653; for the year ended Jun 30, 2025, it was -$4.97 million.
- By year, Operating Expenses came in at -$66,944 in the year ended Dec 31, 2024, -$75,480 in the year ended Dec 31, 2023, -$43,603 in the year ended Dec 31, 2022 and -$38,042 in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 478.70 Bn | 447.65 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 386.97 Bn | 259.11 Bn | - | 12.62 Bn |
| 3 | Sap Se | 273.48 Bn | 201.26 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 199.13 Bn | 155.00 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 157.36 Bn | 135.82 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 118.71 Bn | 100.84 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 92.46 Bn | 71.81 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 73.23 Bn | 72.32 Bn | - | - |
| 9 | Strategy | 54.12 Bn | 47.11 Bn | 81.55 Mn | 8.41 Bn |
| 10 | Locafy | 2.15 Mn | -343,352.10 | - | -9,032.49 |
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();