American Vanguard (AVD) Operating Expenses (2010 - 2026)
American Vanguard (AVD) recorded Operating Expenses of $33.11 million in Q2 2026, down 3.8% from $34.43 million a year earlier but up 0.4% from the prior quarter.
American Vanguard (AVD) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, American Vanguard's Operating Expenses came in at $133.15 million as of Jun 30, 2026, down 7.7% year-over-year; for FY2025, it was $8.89 million, down 18.7% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of -43.5% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $10.93 million in FY2024 (-11.5%), $12.35 million in FY2023 (+14.0%), $10.83 million in FY2022 (-94.1%) and $183.27 million in FY2021 (+18.7%).
- Quarterly Operating Expenses has ranged from -$102.73 million in Q4 2022 to $50.34 million in Q4 2021 over the past five years.
- On a year-over-year basis, Operating Expenses rose in 1 of the last seven quarters, with an average decline of 7.6%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 24.0% in Q3 2021, against a decline of 20.7% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $32.98 million (Q1 2026), $34.66 million (Q4 2025) and $32.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 232.08 Bn | 213.65 Bn | 4.43 Bn | 928.00 Mn |
| 2 | Corning | 113.97 Bn | 106.54 Bn | 1.63 Bn | 907.00 Mn |
| 3 | Sherwin Williams | 81.98 Bn | 81.03 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | 3.15 Bn |
| 5 | LyondellBasell Industries | 41.35 Bn | 30.86 Bn | 2.04 Bn | 7.63 Bn |
| 6 | Nutrien | 33.62 Bn | 30.45 Bn | 3.25 Bn | 235.00 Mn |
| 7 | Ati | 24.94 Bn | 22.97 Bn | 309.80 Mn | 99.60 Mn |
| 8 | Qnity Electronics | 24.80 Bn | 21.94 Bn | 666.00 Mn | 298.00 Mn |
| 9 | Ppg Industries | 24.22 Bn | 16.88 Bn | 1.81 Bn | 1.15 Bn |
| 10 | American Vanguard | 29.65 Mn | -114.38 Mn | 34.71 Mn | 33.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.11 Mn |
| Mar 31, 2026 | 32.98 Mn |
| Dec 31, 2025 | 34.66 Mn |
| Sep 30, 2025 | 32.40 Mn |
| Jun 30, 2025 | 34.43 Mn |
| Mar 31, 2025 | 32.31 Mn |
| Dec 31, 2024 | 39.93 Mn |
| Sep 30, 2024 | 37.54 Mn |
| Jun 30, 2024 | 39.65 Mn |
| Mar 31, 2024 | 35.18 Mn |
| Dec 31, 2023 | -100.97 Mn |
| Sep 30, 2023 | 38.89 Mn |
| Jun 30, 2023 | 39.16 Mn |
| Mar 31, 2023 | 35.27 Mn |
| Dec 31, 2022 | -102.73 Mn |
| Sep 30, 2022 | 38.39 Mn |
| Jun 30, 2022 | 38.52 Mn |
| Mar 31, 2022 | 36.65 Mn |
| Dec 31, 2021 | 50.34 Mn |
| Sep 30, 2021 | 48.41 Mn |
American Vanguard 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=AVD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AVD", "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=AVD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();