American Vanguard (AVD) Accumulated Expenses (2009 - 2026)
American Vanguard's Accumulated Expenses came in at $48.31 million for Q2 2026, down 39.5% from $79.87 million a year earlier but up 4.8% from the prior quarter.
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Analysis
American Vanguard (AVD) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, American Vanguard's Accumulated Expenses was $52.23 million, down 24.8% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $69.45 million in FY2024 (+2.0%), $68.08 million in FY2023 (+12.1%), $60.74 million in FY2022 (-4.0%) and $63.25 million in FY2021 (+39.2%).
- The five-year range for quarterly Accumulated Expenses is $46.1 million (Q1 2026) to $108.02 million (Q3 2022).
- Year-over-year, Accumulated Expenses has declined for six consecutive quarters, with an average decline of 14.9% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q1 2022 (growth of 65.4%), and the weakest in Q2 2026 (a decline of 39.5%).
- Business Quant data shows AVD's Accumulated Expenses at $46.1 million (Q1 2026), $52.23 million (Q4 2025) and $81.91 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
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 | American Vanguard | 24.23 Mn | -186.92 Mn | 26.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 46.83 Mn |
| Jun 30, 2026 | 48.31 Mn |
| Mar 31, 2026 | 46.10 Mn |
| Dec 31, 2025 | 52.23 Mn |
| Sep 30, 2025 | 81.91 Mn |
| Jun 30, 2025 | 79.87 Mn |
| Mar 31, 2025 | 70.32 Mn |
| Dec 31, 2024 | 69.45 Mn |
| Sep 30, 2024 | 85.67 Mn |
| Jun 30, 2024 | 86.09 Mn |
| Mar 31, 2024 | 74.34 Mn |
| Dec 31, 2023 | 68.08 Mn |
| Sep 30, 2023 | 90.37 Mn |
| Jun 30, 2023 | 80.33 Mn |
| Mar 31, 2023 | 71.38 Mn |
| Dec 31, 2022 | 60.74 Mn |
| Sep 30, 2022 | 108.02 Mn |
| Jun 30, 2022 | 99.15 Mn |
| Mar 31, 2022 | 87.96 Mn |
| Dec 31, 2021 | 63.25 Mn |
API Access
American Vanguard Accumulated 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=accumulated-expenses&ticker=AVD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=AVD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();