Locafy (LCFY) Accumulated Expenses (2021 - 2026)
Locafy (LCFY) reported Accumulated Expenses of $359,543 for the quarter ended Mar 31, 2026, up 53.5% from the prior quarter.
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Analysis
Locafy (LCFY) Accumulated Expenses (2021 - 2026) Analysis & Trends
As of Jun 30, 2025, Locafy posted Accumulated Expenses of $339,028.
- Accumulated Expenses has a four-year compound annual growth rate of 0.6% (years ended Jun 2021 to Jun 2025).
- By year, Accumulated Expenses came in at $249,673 in the year ended Dec 31, 2024 (+2.2%), $244,229 in the year ended Dec 31, 2023 (-29.5%), $346,316 in the year ended Dec 31, 2022 (+4.7%) and $330,692 in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 406.71 Bn | 371.66 Bn | 1.93 Bn |
| 2 | Oracle | 356.71 Bn | 229.27 Bn | 18.57 Bn |
| 3 | Sap Se | 287.26 Bn | 215.24 Bn | 8.64 Bn |
| 4 | Salesforce | 175.69 Bn | 131.56 Bn | 8.70 Bn |
| 5 | Automatic Data Processing | 120.83 Bn | 107.63 Bn | 2.53 Bn |
| 6 | ServiceNow | 103.38 Bn | 82.65 Bn | 2.90 Bn |
| 7 | Intuit | 91.37 Bn | 70.72 Bn | 3.44 Bn |
| 8 | Relx | 72.62 Bn | 72.62 Bn | - |
| 9 | Strategy | 48.71 Bn | 35.85 Bn | 89.63 Mn |
| 10 | Locafy | 1.53 Mn | -1.94 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 359,542.61 |
| Dec 31, 2025 | 234,238.43 |
| Jun 30, 2025 | 339,028.13 |
| Mar 31, 2025 | 323,376.83 |
| Dec 31, 2024 | 249,673.28 |
| Sep 30, 2024 | 263,109.72 |
| Jun 30, 2024 | 330,367.85 |
| Mar 31, 2024 | 247,288.37 |
| Dec 31, 2023 | 244,228.72 |
| Sep 30, 2023 | 167,018.07 |
| Jun 30, 2023 | 339,333.66 |
| Mar 31, 2023 | 816,946.52 |
| Dec 31, 2022 | 346,316.38 |
| Jun 30, 2022 | 352,175.26 |
| Dec 31, 2021 | 330,692.46 |
| Jun 30, 2021 | 342,725.35 |
API Access
Locafy Accumulated 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=accumulated-expenses&ticker=LCFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=LCFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();