Locafy (LCFY) Accumulated Expenses (2021 - 2026)
Locafy (LCFY) reported Accumulated Expenses of $364,796 for the quarter ended Mar 31, 2026, up 58.9% 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 $336,334.
- Accumulated Expenses has a four-year compound annual growth rate of 0.3% (years ended Jun 2021 to Jun 2025).
- By year, Accumulated Expenses came in at $264,966 in the year ended Dec 31, 2024 (+11.4%), $237,777 in the year ended Dec 31, 2023 (-29.3%), $336,295 in the year ended Dec 31, 2022 (+1.2%) and $332,298 in the year ended Dec 31, 2021.
- The figure for the quarter ended Mar 31, 2026 ranks as the highest quarterly Accumulated Expenses since the quarter ended Jun 30, 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 456.65 Bn | 425.71 Bn | 1.64 Bn |
| 2 | Oracle | 417.55 Bn | 290.11 Bn | - |
| 3 | Sap Se | 259.04 Bn | 180.13 Bn | 8.40 Bn |
| 4 | Salesforce | 194.78 Bn | 150.65 Bn | 8.70 Bn |
| 5 | ServiceNow | 142.47 Bn | 120.93 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 105.00 Bn | 87.13 Bn | 2.51 Bn |
| 7 | Intuit | 75.89 Bn | 55.24 Bn | 3.44 Bn |
| 8 | Relx | 60.92 Bn | 57.89 Bn | - |
| 9 | Strategy | 56.49 Bn | 49.48 Bn | 81.55 Mn |
| 10 | Locafy | 4.19 Mn | 1.70 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 364,796.11 |
| Dec 31, 2025 | 229,613.66 |
| Jun 30, 2025 | 332,340.00 |
| Mar 31, 2025 | 323,005.27 |
| Dec 31, 2024 | 262,500.79 |
| Sep 30, 2024 | 254,630.13 |
| Jun 30, 2024 | 327,369.75 |
| Mar 31, 2024 | 249,824.87 |
| Dec 31, 2023 | 232,908.77 |
| Sep 30, 2023 | 170,195.52 |
| Jun 30, 2023 | 342,608.92 |
| Mar 31, 2023 | 832,138.87 |
| Dec 31, 2022 | 336,295.30 |
| Jun 30, 2022 | 366,620.51 |
| Dec 31, 2021 | 332,298.32 |
| Jun 30, 2021 | 351,252.95 |
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();