Ppg Industries (PPG) Other Operating Expenses (2009 - 2026)
Ppg Industries (PPG) posted Other Operating Expenses of $107 million for Q2 2026, up 0.9% from $106 million a year earlier but down 5.3% from the prior quarter.
Ppg Industries (PPG) Other Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Ppg Industries was $458 million, up 4.1% year-over-year; for FY2025, it was $422 million, up 40.2% from FY2024.
- Annual Other Operating Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 6.5% (FY2020 to FY2025).
- In prior years, Ppg Industries' Other Operating Expenses was $301 million in FY2024 (+5.2%), $286 million in FY2023 (+26.5%), $226 million in FY2022 (-48.9%) and $442 million in FY2021 (+43.5%).
- Quarterly Other Operating Expenses has run from a low of -$43 million in Q1 2023 to a high of $175 million in Q2 2022 over five years.
- On a year-over-year basis, Other Operating Expenses has increased in each of the last four quarters, with growth averaging 0.7% over the last seven quarters.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q4 2021, with growth of 382.8%; the weakest was Q2 2023, with a decline of 37.1%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $113 million (Q1 2026), $132 million (Q4 2025) and $106 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 239.54 Bn | 223.24 Bn | 4.44 Bn |
| 2 | Corning | 96.61 Bn | 88.91 Bn | 1.81 Bn |
| 3 | Sherwin Williams | 85.84 Bn | 84.86 Bn | 3.28 Bn |
| 4 | Air Products & Chemicals | 69.53 Bn | 72.40 Bn | - |
| 5 | LyondellBasell Industries | 39.13 Bn | 27.31 Bn | 1.50 Bn |
| 6 | Nutrien | 34.78 Bn | 31.35 Bn | 1.86 Bn |
| 7 | Ppg Industries | 27.48 Bn | 20.55 Bn | 1.76 Bn |
| 8 | Qnity Electronics | 25.83 Bn | 22.27 Bn | 743.00 Mn |
| 9 | Ati | 24.82 Bn | 22.90 Bn | 380.20 Mn |
| 10 | Dow | 22.79 Bn | 8.23 Bn | 1.38 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.00 Mn |
| Jun 30, 2025 | 34.00 Mn |
| Jun 30, 2024 | 27.00 Mn |
| Mar 31, 2022 | 13.00 Mn |
| Dec 31, 2021 | 1.00 Mn |
| Jun 30, 2021 | 11.00 Mn |
| Mar 31, 2021 | 17.00 Mn |
| Dec 31, 2020 | 59.00 Mn |
| Sep 30, 2020 | 21.00 Mn |
| Jun 30, 2020 | 21.00 Mn |
| Mar 31, 2020 | 10.00 Mn |
| Dec 31, 2019 | 17.00 Mn |
| Sep 30, 2019 | 26.00 Mn |
| Jun 30, 2019 | 29.00 Mn |
| Mar 31, 2019 | 14.00 Mn |
| Dec 31, 2018 | 50.00 Mn |
| Sep 30, 2018 | 25.00 Mn |
| Jun 30, 2018 | 6.00 Mn |
| Mar 31, 2018 | 41.00 Mn |
| Dec 31, 2017 | 25.00 Mn |
Ppg Industries Other Operating Expenses 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=other-operating-expenses&ticker=PPG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=PPG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();