Bristow (VTOL) Intangibles (2015 - 2020)
Bristow's Intangibles came in at $92,000 for FY2020.
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Analysis
Bristow (VTOL) Intangibles (2015 - 2020) Analysis & Trends
Going back to FY2015, Bristow's Intangibles data covers 6 years.
- Intangibles carries a five-year compound annual growth rate of -39.7% (FY2015 to FY2020).
- The FY2020 figure represents the lowest annual Intangibles in data going back to FY2015.
- Per Business Quant, earlier years put Intangibles at $96,000 in FY2019 (-91.3%), $1.11 million in FY2018 (-1.3%), $1.12 million in FY2017 (-1.3%) and $1.14 million in FY2016 (-1.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (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 | - | 2.15 Bn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 3.95 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 | - | 5.96 Bn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | - |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | 170.17 Mn |
| 10 | Bristow | 1.21 Bn | 20.55 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 92,000.00 |
| Dec 31, 2019 | 96,000.00 |
| Sep 30, 2019 | 1.09 Mn |
| Jun 30, 2019 | 1.10 Mn |
| Mar 31, 2019 | 1.10 Mn |
| Dec 31, 2018 | 1.11 Mn |
| Jun 30, 2018 | 1.12 Mn |
| Mar 31, 2018 | 1.12 Mn |
| Dec 31, 2017 | 1.12 Mn |
| Sep 30, 2017 | 1.13 Mn |
| Jun 30, 2017 | 1.13 Mn |
| Mar 31, 2017 | 1.13 Mn |
| Dec 31, 2016 | 1.14 Mn |
| Sep 30, 2016 | 1.14 Mn |
| Jun 30, 2016 | 1.15 Mn |
| Mar 31, 2016 | 1.15 Mn |
| Dec 31, 2015 | 1.16 Mn |
| Sep 30, 2015 | 1.41 Mn |
| Jun 30, 2015 | 1.41 Mn |
API Access
Bristow 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=intangibles&ticker=VTOL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "ticker": "VTOL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=intangibles&ticker=VTOL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();