Frontline (FRO) Exchange Rate Effect (2013 - 2015)
Frontline (FRO) reported Exchange Rate Effect of $112,000 for Q1 2015, compared with $9,000 a year earlier.
Powered by 
Analysis
Frontline (FRO) Exchange Rate Effect (2013 - 2015) Analysis & Trends
Over the twelve months ended Mar 31, 2015, Frontline's Exchange Rate Effect came in at $206,000, up 12.6% year-over-year; for FY2014, it was $113,000, up 465.0% from FY2013.
- By year, Exchange Rate Effect came in at $20,000 in FY2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | - |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 17.35 Mn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | -13.00 Mn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | - |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | -39.00 Mn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | - |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | - |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | -2.79 Mn |
| 10 | Frontline | 10.71 Bn | 9.47 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2015 | 112,000.00 |
| Mar 31, 2014 | 9,000.00 |
| Dec 31, 2013 | 29,000.00 |
API Access
Frontline 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=FRO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "FRO", "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=FRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();