Ppg Industries (PPG) Restructuring Costs (2009 - 2022)
Ppg Industries' (PPG) quarterly Restructuring Costs came in at -$3.0 million in Q4 2022, down 105.77% year-over-year from $52.0 million in Q4 2021, and down 108.33% quarter-over-quarter from $36.0 million in Q3 2022.
Ppg Industries (PPG) Restructuring Costs (2009 - 2022) Analysis & Trends
Ppg Industries (PPG) has reported Restructuring Costs for 10 consecutive years, with -$3.0 million the latest figure, recorded in Q4 2022.
- On a quarterly basis, Restructuring Costs fell 105.77% year-over-year to -$3.0 million in Q4 2022; TTM through Dec 2022 was $85.0 million, a 157.58% increase from a year earlier, with the FY2025 full-year figure at $6.0 million, down 97.42% from the prior year.
- Restructuring Costs was -$3.0 million for Q4 2022 at Ppg Industries, down from $36.0 million in the prior quarter.
- Over five years, Restructuring Costs peaked at $176.0 million in Q2 2019 and troughed at -$21.0 million in Q2 2021.
- A 5-year average of $34.3 million and a median of $2.0 million in 2019 frame the typical range for Restructuring Costs.
- The widest YoY moves for Restructuring Costs: up 2500.0% in 2021, down 112.73% in 2021.
- Over 5 years, Restructuring Costs stood at -$5.0 million in 2018, then surged by 120.0% to $1.0 million in 2019, then soared by 100.0% to $2.0 million in 2020, then surged by 2500.0% to $52.0 million in 2021, then sank by 105.77% to -$3.0 million in 2022.
- The last three Restructuring Costs figures came in at -$3.0 million (Q4 2022), $36.0 million (Q3 2022), and $52.0 million (Q4 2021), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Sherwin Williams | 79.74 Bn | 79.45 Bn | 3.34 Bn |
| 2 | Ppg Industries | 23.96 Bn | 22.51 Bn | 1.81 Bn |
| 3 | Rpm International | 12.90 Bn | 12.58 Bn | 950.03 Mn |
| 4 | Axalta Coating Systems | 7.08 Bn | 6.49 Bn | 465.00 Mn |
| 5 | Fuller H B | 2.75 Bn | 2.63 Bn | 319.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | -3.00 Mn |
| Sep 30, 2022 | 36.00 Mn |
| Dec 31, 2021 | 52.00 Mn |
| Jun 30, 2021 | -21.00 Mn |
| Dec 31, 2020 | 2.00 Mn |
| Jun 30, 2020 | 165.00 Mn |
| Mar 31, 2020 | 7.00 Mn |
| Dec 31, 2019 | 1.00 Mn |
| Sep 30, 2019 | 2.00 Mn |
| Jun 30, 2019 | 176.00 Mn |
| Mar 31, 2019 | -3.00 Mn |
| Dec 31, 2018 | -5.00 Mn |
| Sep 30, 2018 | -12.00 Mn |
| Jun 30, 2018 | 83.00 Mn |
| Dec 31, 2016 | 191.00 Mn |
| Dec 31, 2015 | -4.00 Mn |
| Jun 30, 2015 | 140.00 Mn |
| Sep 30, 2013 | 98.00 Mn |
| Dec 31, 2012 | 12.00 Mn |
| Mar 31, 2012 | 208.00 Mn |
Ppg Industries 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=PPG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "PPG", "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=PPG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();