Safe Bulkers (SB) Amortization - Intangibles (2009 - 2020)
Safe Bulkers (SB) posted Amortization - Intangibles of $401,000 for the quarter ended Jun 30, 2020, up 16.6% from $344,000 a year earlier but down 19.0% from the prior quarter.
Safe Bulkers (SB) Amortization - Intangibles (2009 - 2020) Analysis & Trends
For the trailing twelve months through Jun 30, 2020, Amortization - Intangibles at Safe Bulkers was $2.05 million, up 7.7% year-over-year; for the year ended Dec 31, 2019, it was $1.85 million, up 2.8% from the prior year.
- Annual Amortization - Intangibles shows a five-year compound annual growth rate of 4.6% (years ended Dec 2014 to Dec 2019).
- In prior years, Safe Bulkers' Amortization - Intangibles was $1.79 million in the year ended Dec 31, 2018 (-27.0%), $2.46 million in the year ended Dec 31, 2017 (-19.8%), $3.06 million in the year ended Dec 31, 2016 (+9.7%) and $2.79 million in the year ended Dec 31, 2015 (+89.7%).
- Quarterly Amortization - Intangibles has run from a low of $72,000 in the quarter ended Dec 31, 2017 to a high of $1.88 million in the quarter ended Sep 30, 2017 over five years.
- On a year-over-year basis, Amortization - Intangibles has increased in each of the last three quarters, with growth averaging 91.1% over the last seven quarters.
- The strongest year-over-year quarter for Amortization - Intangibles in the past five years was the quarter ended Dec 31, 2018, with growth of 491.7%; the weakest was the quarter ended Jun 30, 2017, with a decline of 74.9%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn |
| 10 | Safe Bulkers | 873.30 Mn | 372.20 Mn | 86.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2020 | 401,000.00 |
| Mar 31, 2020 | 495,000.00 |
| Dec 31, 2019 | 809,000.00 |
| Jun 30, 2019 | 344,000.00 |
| Mar 31, 2019 | 334,000.00 |
| Dec 31, 2018 | 426,000.00 |
| Sep 30, 2018 | 798,000.00 |
| Jun 30, 2018 | 227,000.00 |
| Mar 31, 2018 | 342,000.00 |
| Dec 31, 2017 | 72,000.00 |
| Sep 30, 2017 | 1.88 Mn |
| Jun 30, 2017 | 108,000.00 |
| Mar 31, 2017 | 399,000.00 |
| Dec 31, 2016 | 115,000.00 |
| Sep 30, 2016 | 937,000.00 |
| Jun 30, 2016 | 431,000.00 |
| Mar 31, 2016 | 1.58 Mn |
| Dec 31, 2015 | 445,000.00 |
| Sep 30, 2015 | 1.46 Mn |
| Jun 30, 2015 | 511,000.00 |
Safe Bulkers Amortization - Intangibles 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-intangibles&ticker=SB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "SB", "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-intangibles&ticker=SB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();