Babcock & Wilcox Enterprises, Inc. (BW-PA) Restructuring Costs (2014 - 2024)
Babcock & Wilcox Enterprises' Restructuring Costs came in at -$1.55 million for Q4 2024, compared with -$71,000 a year earlier.
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Analysis
Babcock & Wilcox Enterprises, Inc. (BW-PA) Restructuring Costs (2014 - 2024) Analysis & Trends
For FY2024, Babcock & Wilcox Enterprises' Restructuring Costs was $1.3 million, down 50.5% from FY2023.
- Restructuring Costs carries a five-year compound annual growth rate of -35.6% (FY2019 to FY2024).
- Going back by year, Restructuring Costs was $2.62 million in FY2023, -$205,000 in FY2022, $4.87 million in FY2021 (-58.9%) and $11.85 million in FY2020 (+1.2%).
- The Q4 2024 figure represents the lowest quarterly Restructuring Costs since Q4 2021.
- Year-over-year, Restructuring Costs increased in three of the last five quarters, with growth averaging 158.3%.
- The fastest year-over-year change in Restructuring Costs over five years came in Q1 2024 (growth of 311.5%), and the weakest in Q3 2022 (a decline of 92.2%).
- Business Quant data shows BW-PA's Restructuring Costs at $496,000 (Q3 2024), $767,000 (Q2 2024) and $1.58 million (Q1 2024) in the three quarters before Q4 2024.
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -1.55 Mn |
| Sep 30, 2024 | 496,000.00 |
| Jun 30, 2024 | 767,000.00 |
| Mar 31, 2024 | 1.58 Mn |
| Dec 31, 2023 | -71,000.00 |
| Sep 30, 2023 | 1.29 Mn |
| Jun 30, 2023 | 1.02 Mn |
| Mar 31, 2023 | 384,000.00 |
| Dec 31, 2022 | -556,000.00 |
| Sep 30, 2022 | 359,000.00 |
| Jun 30, 2022 | -102,000.00 |
| Mar 31, 2022 | 94,000.00 |
| Dec 31, 2021 | -3.10 Mn |
| Sep 30, 2021 | 4.58 Mn |
| Jun 30, 2021 | 2.40 Mn |
| Mar 31, 2021 | 993,000.00 |
| Dec 31, 2020 | 5.11 Mn |
| Sep 30, 2020 | 2.40 Mn |
| Jun 30, 2020 | 2.39 Mn |
| Mar 31, 2020 | 1.95 Mn |
API Access
Babcock & Wilcox Enterprises, Inc. 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=BW-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "BW-PA", "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=BW-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();