Locafy (LCFY) Consolidated Net Income (2022 - 2026)
Locafy (LCFY) recorded Consolidated Net Income of -$612,281 in the quarter ended Mar 31, 2026.
Analysis
Locafy (LCFY) Consolidated Net Income (2022 - 2026) Analysis & Trends
On a TTM basis, Locafy's Consolidated Net Income came in at -$3.37 million as of Mar 31, 2026; for the year ended Jun 30, 2025, it was -$2.8 million.
- Across earlier years, Consolidated Net Income came in at -$1.28 million in the year ended Dec 31, 2024, -$2.59 million in the year ended Dec 31, 2023, -$3.34 million in the year ended Dec 31, 2022 and -$1 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Mar 31, 2026 is the lowest quarterly Consolidated Net Income since the quarter ended Jun 30, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 1.07 Bn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 4.76 Bn |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | 2.57 Bn |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 3.53 Bn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 298.00 Mn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | 978.60 Mn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 363.00 Mn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | -8.22 Bn |
| 10 | Locafy | 4.16 Mn | 1.66 Mn | - | -612,281.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -612,281.00 |
| Jun 30, 2025 | -534,920.55 |
| Mar 31, 2025 | -512,840.44 |
| Sep 30, 2024 | -22,184.55 |
| Jun 30, 2024 | -593,187.94 |
| Mar 31, 2024 | -435,637.14 |
| Sep 30, 2023 | -529,321.63 |
| Jun 30, 2023 | -784,085.05 |
| Mar 31, 2023 | -697,800.17 |
| Sep 30, 2022 | -795,364.67 |
API Access
Locafy Consolidated Net Income 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=consolidated-net-income&ticker=LCFY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-income", "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=consolidated-net-income&ticker=LCFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();