Locafy (LCFY) Operating Leases (2021 - 2026)
Locafy (LCFY) posted Operating Leases of $69,077 for the quarter ended Mar 31, 2026, down 22.3% from the prior quarter.
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Analysis
Locafy (LCFY) Operating Leases (2021 - 2026) Analysis & Trends
As of Jun 30, 2025, Locafy's Operating Leases came in at $91,499.
- In prior years, Locafy's Operating Leases was $88,464 in the year ended Dec 31, 2024 (+10.7%), $79,943 in the year ended Dec 31, 2023 (+272.4%), $21,466 in the year ended Dec 31, 2022 (-31.9%) and $31,543 in the year ended Dec 31, 2021.
- The figure for the quarter ended Mar 31, 2026 stands as the lowest quarterly Operating Leases since the quarter ended Jun 30, 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 462.03 Bn | 430.98 Bn | 1.64 Bn |
| 2 | Oracle | 387.48 Bn | 259.61 Bn | - |
| 3 | Sap Se | 266.80 Bn | 194.59 Bn | 8.40 Bn |
| 4 | Salesforce | 199.03 Bn | 154.91 Bn | 8.70 Bn |
| 5 | ServiceNow | 154.48 Bn | 132.94 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 117.71 Bn | 99.83 Bn | 2.51 Bn |
| 7 | Intuit | 92.43 Bn | 71.78 Bn | 3.44 Bn |
| 8 | Relx | 72.15 Bn | 71.24 Bn | - |
| 9 | Thomson Reuters | 50.59 Bn | 47.38 Bn | - |
| 10 | Locafy | 2.06 Mn | -433,390.27 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 68,081.80 |
| Dec 31, 2025 | 90,746.51 |
| Jun 30, 2025 | 40,986.78 |
| Mar 31, 2025 | 86,428.93 |
| Dec 31, 2024 | 83,358.57 |
| Sep 30, 2024 | 90,748.20 |
| Jun 30, 2024 | 135,611.70 |
| Mar 31, 2024 | 81,326.17 |
| Dec 31, 2023 | 82,111.54 |
| Sep 30, 2023 | 67,636.44 |
| Jun 30, 2023 | 220,157.02 |
| Mar 31, 2023 | 44,940.22 |
| Dec 31, 2022 | -40,202.90 |
| Jun 30, 2022 | 287,427.33 |
| Dec 31, 2021 | -12,893.77 |
| Jun 30, 2021 | 65,668.86 |
API Access
Locafy Operating Leases 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=operating-leases&ticker=LCFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=LCFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();