Frontline (FRO) Amortization of Deferred Charges (2015 - 2020)
Frontline (FRO) posted Amortization of Deferred Charges of $5.62 million for FY2020, up 21.1% from $4.65 million in FY2019.
Analysis
Frontline (FRO) Amortization of Deferred Charges (2015 - 2020) Analysis & Trends
Since FY2009, Frontline has reported Amortization of Deferred Charges for 11 years.
- Annual Amortization of Deferred Charges has increased for three consecutive years, with a four-year compound annual growth rate of 29.1% (FY2016 to FY2020).
- The FY2020 figure stands as the highest annual Amortization of Deferred Charges since FY2011.
- Business Quant data shows FRO's Amortization of Deferred Charges at $4.65 million in FY2019 (+87.9%), $2.47 million in FY2018 (+29.2%), $1.91 million in FY2017 (-5.6%) and $2.03 million in FY2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - |
| 10 | Frontline | 11.74 Bn | 10.50 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | -221,000.00 |
| Dec 31, 2016 | 8.83 Mn |
| Sep 30, 2016 | -738,000.00 |
| Jun 30, 2016 | -2.24 Mn |
| Mar 31, 2016 | -3.82 Mn |
| Sep 30, 2015 | 711,000.00 |
| Jun 30, 2015 | 704,000.00 |
| Mar 31, 2015 | 696,000.00 |
API Access
Frontline Amortization of Deferred Charges 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=amortization-of-deferred-charges&ticker=FRO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-of-deferred-charges", "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=amortization-of-deferred-charges&ticker=FRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();