Valhi (VHI) Operating Expenses (2010 - 2026)
Valhi (VHI) posted Operating Expenses of $580.3 million for Q2 2026, up 4.4% from $556 million a year earlier and up 5.5% from the prior quarter.
Valhi (VHI) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Valhi was $2.24 billion, up 15.9% year-over-year; for FY2025, it came in at $2.18 billion, up 13.4% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 4.2% (FY2020 to FY2025).
- In prior years, Valhi's Operating Expenses was $1.92 billion in FY2024 (-3.7%), $2 billion in FY2023 (-4.8%), $2.1 billion in FY2022 (+0.9%) and $2.08 billion in FY2021 (+16.9%).
- Quarterly Operating Expenses has run from a low of $427 million in Q4 2022 to a high of $593.2 million in Q2 2022 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last five quarters, with growth averaging 6.7% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2025, with growth of 34.6%; the weakest was Q4 2022, with a decline of 26.5%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $550.1 million (Q1 2026), $582.8 million (Q4 2025) and $531.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 231.85 Bn | 213.42 Bn | 4.43 Bn | 928.00 Mn |
| 2 | Corning | 113.00 Bn | 105.57 Bn | 1.63 Bn | 907.00 Mn |
| 3 | Sherwin Williams | 81.18 Bn | 80.22 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 66.75 Bn | 61.94 Bn | 1.04 Bn | 3.15 Bn |
| 5 | LyondellBasell Industries | 41.15 Bn | 30.66 Bn | 2.04 Bn | 7.63 Bn |
| 6 | Nutrien | 33.74 Bn | 30.57 Bn | 3.25 Bn | 235.00 Mn |
| 7 | Ati | 24.89 Bn | 22.92 Bn | 309.80 Mn | 99.60 Mn |
| 8 | Qnity Electronics | 24.56 Bn | 21.70 Bn | 666.00 Mn | 298.00 Mn |
| 9 | Ppg Industries | 24.00 Bn | 16.66 Bn | 1.81 Bn | 1.15 Bn |
| 10 | Valhi | 405.84 Mn | -405.96 Mn | 141.60 Mn | 580.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 580.30 Mn |
| Mar 31, 2026 | 550.10 Mn |
| Dec 31, 2025 | 582.80 Mn |
| Sep 30, 2025 | 531.70 Mn |
| Jun 30, 2025 | 556.00 Mn |
| Mar 31, 2025 | 508.60 Mn |
| Dec 31, 2024 | 432.90 Mn |
| Sep 30, 2024 | 438.90 Mn |
| Jun 30, 2024 | 525.80 Mn |
| Mar 31, 2024 | 524.80 Mn |
| Dec 31, 2023 | 470.40 Mn |
| Sep 30, 2023 | 485.90 Mn |
| Jun 30, 2023 | 524.70 Mn |
| Mar 31, 2023 | 515.60 Mn |
| Dec 31, 2022 | 427.00 Mn |
| Sep 30, 2022 | 530.40 Mn |
| Jun 30, 2022 | 593.20 Mn |
| Mar 31, 2022 | 545.70 Mn |
| Dec 31, 2021 | 581.00 Mn |
| Sep 30, 2021 | 520.60 Mn |
Valhi 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=operating-expenses&ticker=VHI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "VHI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=VHI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();