Valhi (VHI) Selling, General & Administrative (2010 - 2026)
Valhi (VHI) reported Selling, General & Administrative of $78.8 million for Q2 2026, down 0.5% from $79.2 million a year earlier but up 1.7% from the prior quarter.
Valhi (VHI) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Valhi's Selling, General & Administrative came in at $310.9 million, up 15.0% year-over-year; for FY2025, it was $312.3 million, up 21.9% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 1.9% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $256.2 million in FY2024 (-7.6%), $277.4 million in FY2023 (-8.8%), $304 million in FY2022 (-2.5%) and $311.9 million in FY2021 (+10.0%).
- Five-year quarterly Selling, General & Administrative spans a low of $38.5 million in Q4 2024 and a high of $82.2 million in Q3 2021.
- Year over year, Selling, General & Administrative gained in five of the last eight quarters, with growth averaging 10.6%.
- The high point for year-over-year Selling, General & Administrative in five years was Q4 2025 (growth of 100.0%); the low point was Q4 2024 (a decline of 45.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $77.5 million (Q1 2026), $77 million (Q4 2025) and $77.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.28 Bn | 216.86 Bn | 4.43 Bn | 891.00 Mn |
| 2 | Corning | 107.85 Bn | 100.42 Bn | 1.63 Bn | 608.00 Mn |
| 3 | Sherwin Williams | 82.89 Bn | 81.93 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 68.48 Bn | 63.67 Bn | 1.04 Bn | 219.10 Mn |
| 5 | LyondellBasell Industries | 42.83 Bn | 32.34 Bn | 2.04 Bn | 387.00 Mn |
| 6 | Nutrien | 33.77 Bn | 30.60 Bn | 3.25 Bn | 169.00 Mn |
| 7 | Ppg Industries | 24.77 Bn | 17.42 Bn | 1.81 Bn | 931.00 Mn |
| 8 | International Flavors & Fragrances | 24.07 Bn | 21.73 Bn | 853.00 Mn | 437.00 Mn |
| 9 | Dow | 23.52 Bn | 7.02 Bn | 2.17 Bn | 535.00 Mn |
| 10 | Valhi | 399.00 Mn | -412.80 Mn | 141.60 Mn | 78.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 78.80 Mn |
| Mar 31, 2026 | 77.50 Mn |
| Dec 31, 2025 | 77.00 Mn |
| Sep 30, 2025 | 77.60 Mn |
| Jun 30, 2025 | 79.20 Mn |
| Mar 31, 2025 | 78.50 Mn |
| Dec 31, 2024 | 38.50 Mn |
| Sep 30, 2024 | 74.20 Mn |
| Jun 30, 2024 | 74.90 Mn |
| Mar 31, 2024 | 68.60 Mn |
| Dec 31, 2023 | 71.10 Mn |
| Sep 30, 2023 | 69.10 Mn |
| Jun 30, 2023 | 68.40 Mn |
| Mar 31, 2023 | 68.80 Mn |
| Dec 31, 2022 | 65.90 Mn |
| Sep 30, 2022 | 81.90 Mn |
| Jun 30, 2022 | 79.00 Mn |
| Mar 31, 2022 | 77.20 Mn |
| Dec 31, 2021 | 80.30 Mn |
| Sep 30, 2021 | 82.20 Mn |
Valhi Selling, General & Administrative 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=selling-general-and-administrative&ticker=VHI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=VHI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();