Locafy (LCFY) Times Interest Earned (2022 - 2026)
Locafy's (LCFY) Times Interest Earned was -35.68 for the quarter ended Mar 31, 2026.
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Analysis
Locafy (LCFY) Times Interest Earned (2022 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Locafy's Times Interest Earned came in at -22.61; for the year ended Jun 30, 2025, it came in at -22.60.
- By year, Times Interest Earned came in at -18.61 in the year ended Dec 31, 2024, -21.39 in the year ended Dec 31, 2023, -5.80 in the year ended Dec 31, 2022 and -22.90 in the year ended Dec 31, 2021.
- The figure for the quarter ended Mar 31, 2026 ranks as the highest quarterly Times Interest Earned since the quarter ended Jun 30, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | - |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 4.71 |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | 8.18 |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 4.93 |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | -15.08 |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 6.79 |
| 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 | - | -35.68 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -35.68 |
| Jun 30, 2025 | -78.68 |
| Mar 31, 2025 | -4.61 |
| Sep 30, 2024 | -2.53 |
| Jun 30, 2024 | -53.42 |
| Mar 31, 2024 | -33.16 |
| Sep 30, 2023 | -36.81 |
| Jun 30, 2023 | 42.44 |
| Mar 31, 2023 | -31.74 |
| Sep 30, 2022 | -57.31 |
API Access
Locafy Times Interest Earned 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=times-interest-earned&ticker=LCFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=LCFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();