Locafy (LCFY) Interest Expenses (2022 - 2026)
Locafy's Interest Expenses came in at -$15,708 for the quarter ended Mar 31, 2026.
Analysis
Locafy (LCFY) Interest Expenses (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Locafy reported Interest Expenses of -$141,252; for the year ended Jun 30, 2025, it was -$118,658.
- Going back by year, Interest Expenses was -$95,318 in the year ended Dec 31, 2024, -$122,057 in the year ended Dec 31, 2023, -$491,577 in the year ended Dec 31, 2022 and -$42,918 in the year ended Dec 31, 2021.
- The figure for the quarter ended Mar 31, 2026 represents the lowest quarterly Interest Expenses since the quarter ended Jun 30, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | - |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 1.43 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | -375.44 Mn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 473.00 Mn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 121.00 Mn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 70.00 Mn |
| 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 | - | -15,708.22 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -15,708.22 |
| Jun 30, 2025 | -6,438.27 |
| 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 | -18,922.62 |
| Mar 31, 2023 | -21,316.09 |
| Sep 30, 2022 | -13,639.53 |
API Access
Locafy 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=LCFY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=LCFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();