Locafy (LCFY) Return on Sales [ROS] (2022 - 2026)
Locafy (LCFY) recorded Return on Sales [ROS] of -67.24% in the quarter ended Mar 31, 2026.
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Analysis
Locafy (LCFY) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
On a TTM basis, Locafy's Return on Sales [ROS] came in at -62.73% as of Mar 31, 2026; for the year ended Jun 30, 2025, it was -129.16%.
- Annual Return on Sales [ROS] has a five-year change of -17.68 percentage points (years ended Jun 2020 to Jun 2025).
- Across earlier years, Return on Sales [ROS] came in at -64.73% in the year ended Dec 31, 2024 (+128.20 pp), -192.93% in the year ended Dec 31, 2023 (-39.99 pp), -152.94% in the year ended Dec 31, 2022 (-91.38 pp) and -61.56% in the year ended Dec 31, 2021 (+49.92 pp).
- The figure for the quarter ended Mar 31, 2026 is the highest quarterly Return on Sales [ROS] since the quarter ended Jun 30, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 406.71 Bn | 371.66 Bn | 1.93 Bn | 46.89% |
| 2 | Oracle | 356.71 Bn | 229.27 Bn | 18.57 Bn | 34.78% |
| 3 | Sap Se | 287.26 Bn | 215.24 Bn | 8.64 Bn | 28.53% |
| 4 | Salesforce | 175.69 Bn | 131.56 Bn | 8.70 Bn | 20.55% |
| 5 | Automatic Data Processing | 120.83 Bn | 107.63 Bn | 2.53 Bn | -30.06% |
| 6 | ServiceNow | 103.38 Bn | 82.65 Bn | 2.90 Bn | 9.38% |
| 7 | Intuit | 91.37 Bn | 70.72 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 72.62 Bn | 72.62 Bn | - | - |
| 9 | Strategy | 48.71 Bn | 35.85 Bn | 89.63 Mn | 16,670.89% |
| 10 | Locafy | 1.53 Mn | -1.94 Mn | - | -67.24% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -67.24% |
| Jun 30, 2025 | -95.46% |
| Mar 31, 2025 | -80.68% |
| Sep 30, 2024 | -5.06% |
| Jun 30, 2024 | -73.41% |
| Mar 31, 2024 | -70.44% |
| Sep 30, 2023 | -72.33% |
| Jun 30, 2023 | 68.60% |
| Mar 31, 2023 | -77.59% |
| Sep 30, 2022 | -79.57% |
API Access
Locafy Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=LCFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=LCFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();