Locafy (LCFY) Non Operating Interest Expenses (2022 - 2026)
Locafy's Non Operating Interest Expenses came in at -$15,708 for the quarter ended Mar 31, 2026.
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Analysis
Locafy (LCFY) Non Operating Interest Expenses (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Locafy reported Non Operating Interest Expenses of -$37,891; for the year ended Jun 30, 2025, it was $118,658.
- Going back by year, Non Operating Interest Expenses was -$75,383 in the year ended Dec 31, 2024, -$70,027 in the year ended Dec 31, 2023, -$520,021 in the year ended Dec 31, 2022 and -$44,279 in the year ended Dec 31, 2021.
- The figure for the quarter ended Mar 31, 2026 represents the lowest quarterly Non Operating Interest Expenses since the quarter ended Jun 30, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 406.71 Bn | 371.66 Bn | 1.93 Bn | - |
| 2 | Oracle | 356.71 Bn | 229.27 Bn | 18.57 Bn | 1.43 Bn |
| 3 | Sap Se | 287.26 Bn | 215.24 Bn | 8.64 Bn | -330.17 Mn |
| 4 | Salesforce | 175.69 Bn | 131.56 Bn | 8.70 Bn | 473.00 Mn |
| 5 | Automatic Data Processing | 120.83 Bn | 107.63 Bn | 2.53 Bn | 148.10 Mn |
| 6 | ServiceNow | 103.38 Bn | 82.65 Bn | 2.90 Bn | 81.00 Mn |
| 7 | Intuit | 91.37 Bn | 70.72 Bn | 3.44 Bn | 70.00 Mn |
| 8 | Relx | 72.62 Bn | 72.62 Bn | - | - |
| 9 | Strategy | 48.71 Bn | 35.85 Bn | 89.63 Mn | 15.38 Mn |
| 10 | Locafy | 1.53 Mn | -1.94 Mn | - | -15,708.22 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -15,708.22 |
| Jun 30, 2025 | 77,969.54 |
| Mar 31, 2025 | -89,631.26 |
| Sep 30, 2024 | -10,521.12 |
| Jun 30, 2024 | -10,899.61 |
| Mar 31, 2024 | -12,753.80 |
| Sep 30, 2023 | -13,999.88 |
| Jun 30, 2023 | 116,585.45 |
| Mar 31, 2023 | -21,316.09 |
| Sep 30, 2022 | -13,639.53 |
API Access
Locafy Non Operating 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=non-operating-interest-expenses&ticker=LCFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=LCFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();