Bristow (VTOL) Restructuring Costs (2019 - 2023)
Bristow (VTOL) reported Restructuring Costs of $347,000 for Q4 2023, down 53.0% from the prior quarter.
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Analysis
Bristow (VTOL) Restructuring Costs (2019 - 2023) Analysis & Trends
For FY2023, Bristow posted Restructuring Costs of $2.2 million, up 121.4% from FY2022.
- Restructuring Costs has a four-year compound annual growth rate of 62.2% (FY2019 to FY2023).
- By year, Restructuring Costs came in at $994,000 in FY2022, $42.84 million in FY2021, $26.37 million in FY2020 and $318,000 in FY2019.
- The Q4 2023 figure ranks as the lowest quarterly Restructuring Costs since Q4 2019.
- Per Business Quant data, the three quarters before Q4 2023 came in at $738,000 (Q3 2023), $677,000 (Q2 2023) and $439,000 (Q1 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | - |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - |
| 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 |
| 10 | Bristow | 1.25 Bn | 63.83 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 347,000.00 |
| Sep 30, 2023 | 738,000.00 |
| Jun 30, 2023 | 677,000.00 |
| Mar 31, 2023 | 439,000.00 |
| Sep 30, 2022 | 291,000.00 |
| Jun 30, 2022 | 368,000.00 |
| Mar 31, 2022 | 2.11 Mn |
| Dec 31, 2021 | 34,000.00 |
| Sep 30, 2021 | 647,000.00 |
| Jun 30, 2021 | 1.74 Mn |
| Dec 31, 2020 | 4.45 Mn |
| Sep 30, 2020 | 13.33 Mn |
| Jun 30, 2020 | 17.42 Mn |
| Dec 31, 2019 | 318,000.00 |
| Jun 30, 2019 | 13.48 Mn |
API Access
Bristow Restructuring Costs 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=restructuring-costs&ticker=VTOL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=VTOL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();