Locafy (LCFY) Net Margin (2022 - 2026)
Locafy (LCFY) posted Net Margin of -73.46% for the quarter ended Mar 31, 2026.
Analysis
Locafy (LCFY) Net Margin (2022 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Net Margin at Locafy was -99.85%; for the year ended Jun 30, 2025, it was -134.71%.
- Annual Net Margin shows a five-year change of -17.76 percentage points (years ended Jun 2020 to Jun 2025).
- In prior years, Locafy's Net Margin was -46.76% in the year ended Dec 31, 2024 (+144.41 pp), -191.17% in the year ended Dec 31, 2023 (-11.87 pp), -179.29% in the year ended Dec 31, 2022 (-116.61 pp) and -62.68% in the year ended Dec 31, 2021 (+54.27 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 54.86% |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 24.19% |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 22.36% |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 31.08% |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 7.47% |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 17.88% |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 8.34% |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -7,044.56% |
| 10 | Locafy | 4.28 Mn | 1.79 Mn | - | -73.46% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -73.46% |
| Jun 30, 2025 | -100.81% |
| Mar 31, 2025 | -100.09% |
| Sep 30, 2024 | -4.22% |
| Jun 30, 2024 | -74.79% |
| Mar 31, 2024 | -72.57% |
| Sep 30, 2023 | -74.30% |
| Jun 30, 2023 | -92.87% |
| Mar 31, 2023 | -80.03% |
| Sep 30, 2022 | -80.96% |
API Access
Locafy Net Margin 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=net-margin&ticker=LCFY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=LCFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();