Locafy (LCFY) EPS (Diluted) (2022 - 2026)
Locafy's EPS (Diluted) was -$0.48 in the quarter ended Mar 31, 2026.
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Analysis
Locafy (LCFY) EPS (Diluted) (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Locafy's EPS (Diluted) was -$1.31 through Mar 31, 2026; for the year ended Jun 30, 2025, it came in at -$2.16.
- In earlier years, EPS (Diluted) was -$1.35 in the year ended Dec 31, 2024, -$2.47 in the year ended Dec 31, 2023, -$2.73 in the year ended Dec 31, 2022 and -$1.11 in the year ended Dec 31, 2021.
- The figure for the quarter ended Mar 31, 2026 marks the lowest quarterly EPS (Diluted) since the quarter ended Jun 30, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 406.71 Bn | 371.66 Bn | 1.93 Bn | 0.44 |
| 2 | Oracle | 356.71 Bn | 229.27 Bn | 18.57 Bn | 1.56 |
| 3 | Sap Se | 287.26 Bn | 215.24 Bn | 8.64 Bn | 2.20 |
| 4 | Salesforce | 175.69 Bn | 131.56 Bn | 8.70 Bn | 4.29 |
| 5 | Automatic Data Processing | 120.83 Bn | 107.63 Bn | 2.53 Bn | 2.83 |
| 6 | ServiceNow | 103.38 Bn | 82.65 Bn | 2.90 Bn | 0.27 |
| 7 | Intuit | 91.37 Bn | 70.72 Bn | 3.44 Bn | 1.31 |
| 8 | Relx | 72.62 Bn | 72.62 Bn | - | - |
| 9 | Strategy | 48.71 Bn | 35.85 Bn | 89.63 Mn | 44.67 |
| 10 | Locafy | 1.53 Mn | -1.94 Mn | - | -0.48 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -0.48 |
| Jun 30, 2025 | -0.41 |
| Mar 31, 2025 | -0.39 |
| Sep 30, 2024 | -0.03 |
| Jun 30, 2024 | -0.46 |
| Mar 31, 2024 | -0.41 |
| Sep 30, 2023 | -0.50 |
| Jun 30, 2023 | -0.74 |
| Mar 31, 2023 | -0.68 |
| Sep 30, 2022 | -0.77 |
API Access
Locafy EPS (Diluted) 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=eps-diluted&ticker=LCFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=LCFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();