Locafy (LCFY) Other Operating Expenses (2022 - 2026)
Locafy's Other Operating Expenses was -$60,089 in the quarter ended Mar 31, 2026.
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Analysis
Locafy (LCFY) Other Operating Expenses (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Locafy's Other Operating Expenses was -$200,385 through Mar 31, 2026; for the year ended Jun 30, 2025, it came in at -$97,643.
- In earlier years, Other Operating Expenses was -$43,131 in the year ended Dec 31, 2024, -$141,593 in the year ended Dec 31, 2023, -$161,022 in the year ended Dec 31, 2022 and -$96,537 in the year ended Dec 31, 2021.
- The figure for the quarter ended Mar 31, 2026 marks the lowest quarterly Other Operating Expenses since the quarter ended Jun 30, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn |
| 10 | Locafy | 4.43 Mn | 1.93 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -60,088.55 |
| Jun 30, 2025 | -40,460.01 |
| Mar 31, 2025 | -17,425.08 |
| Sep 30, 2024 | -44,938.23 |
| Jun 30, 2024 | -14,408.91 |
| Mar 31, 2024 | -3,046.90 |
| Sep 30, 2023 | -2,059.40 |
| Jun 30, 2023 | -66,542.63 |
| Mar 31, 2023 | -32,546.10 |
| Sep 30, 2022 | -31,657.13 |
API Access
Locafy Other 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=other-operating-expenses&ticker=LCFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=LCFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();