Locafy (LCFY) Exchange Rate Effect (2022 - 2026)
Locafy (LCFY) recorded Exchange Rate Effect of $9,997 in the quarter ended Mar 31, 2026.
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Analysis
Locafy (LCFY) Exchange Rate Effect (2022 - 2026) Analysis & Trends
On a TTM basis, Locafy's Exchange Rate Effect came in at -$13.12 billion as of Mar 31, 2026; for the year ended Jun 30, 2025, it came in at -$6,873.
- Across earlier years, Exchange Rate Effect came in at -$27,590 in the year ended Dec 31, 2024, -$15,292 in the year ended Dec 31, 2023, $325,527 in the year ended Dec 31, 2022 and -$13,149 in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 462.03 Bn | 430.98 Bn | 1.64 Bn | 292,000.00 |
| 2 | Oracle | 387.48 Bn | 259.61 Bn | - | 11.00 Mn |
| 3 | Sap Se | 266.80 Bn | 194.59 Bn | 8.40 Bn | -43.01 Mn |
| 4 | Salesforce | 199.03 Bn | 154.91 Bn | 8.70 Bn | -75.00 Mn |
| 5 | ServiceNow | 154.48 Bn | 132.94 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 117.71 Bn | 99.83 Bn | 2.51 Bn | -24.10 Mn |
| 7 | Intuit | 92.43 Bn | 71.78 Bn | 3.44 Bn | -11.00 Mn |
| 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 | - | 9,997.28 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 9,997.28 |
| Jun 30, 2025 | -13.12 Bn |
| Mar 31, 2025 | 4,141.95 |
| Sep 30, 2024 | 14,945.04 |
| Jun 30, 2024 | 8,088.87 |
| Mar 31, 2024 | -17,706.66 |
| Sep 30, 2023 | 10,316.01 |
| Jun 30, 2023 | -25,334.20 |
| Mar 31, 2023 | 15,279.63 |
| Sep 30, 2022 | 23,610.03 |
API Access
Locafy Exchange Rate Effect 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=exchange-rate-effect&ticker=LCFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=LCFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();