AdvanSix (ASIX) Operating Expenses (2015 - 2026)
AdvanSix (ASIX) recorded Operating Expenses of $22.05 million in Q2 2026, down 13.2% from $25.42 million a year earlier and down 2.1% from the prior quarter.
AdvanSix (ASIX) Operating Expenses (2015 - 2026) Analysis & Trends
On a TTM basis, AdvanSix's Operating Expenses came in at $100.5 million as of Jun 30, 2026, up 6.0% year-over-year; for FY2025, it was $104.75 million, up 11.4% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 8.1% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $94.02 million in FY2024 (-1.6%), $95.54 million in FY2023 (+8.9%), $87.75 million in FY2022 (+5.7%) and $82.99 million in FY2021 (+17.1%).
- The Q2 2026 figure is the lowest quarterly Operating Expenses since Q4 2024.
- On a year-over-year basis, Operating Expenses rose in four of the last eight quarters, with growth averaging 3.8%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 31.1% in Q4 2025, against a decline of 13.2% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $22.52 million (Q1 2026), $28.5 million (Q4 2025) and $27.43 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 232.92 Bn | 214.50 Bn | 4.43 Bn | 928.00 Mn |
| 2 | Corning | 114.46 Bn | 107.03 Bn | 1.63 Bn | 907.00 Mn |
| 3 | Sherwin Williams | 80.97 Bn | 80.01 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 66.60 Bn | 61.78 Bn | 1.04 Bn | 3.15 Bn |
| 5 | LyondellBasell Industries | 41.19 Bn | 30.70 Bn | 2.04 Bn | 7.63 Bn |
| 6 | Nutrien | 33.79 Bn | 30.61 Bn | 3.25 Bn | 235.00 Mn |
| 7 | Ati | 25.83 Bn | 23.86 Bn | 309.80 Mn | 99.60 Mn |
| 8 | Qnity Electronics | 24.96 Bn | 22.09 Bn | 666.00 Mn | 298.00 Mn |
| 9 | Ppg Industries | 23.98 Bn | 16.63 Bn | 1.81 Bn | 1.15 Bn |
| 10 | AdvanSix | 434.09 Mn | 365.84 Mn | 31.10 Mn | 22.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.05 Mn |
| Mar 31, 2026 | 22.52 Mn |
| Dec 31, 2025 | 28.50 Mn |
| Sep 30, 2025 | 27.43 Mn |
| Jun 30, 2025 | 25.42 Mn |
| Mar 31, 2025 | 23.41 Mn |
| Dec 31, 2024 | 21.73 Mn |
| Sep 30, 2024 | 24.27 Mn |
| Jun 30, 2024 | 24.43 Mn |
| Mar 31, 2024 | 23.59 Mn |
| Dec 31, 2023 | 24.83 Mn |
| Sep 30, 2023 | 21.59 Mn |
| Jun 30, 2023 | 24.01 Mn |
| Mar 31, 2023 | 25.11 Mn |
| Dec 31, 2022 | 22.63 Mn |
| Sep 30, 2022 | 23.07 Mn |
| Jun 30, 2022 | 20.84 Mn |
| Mar 31, 2022 | 21.21 Mn |
| Dec 31, 2021 | 20.87 Mn |
| Sep 30, 2021 | 21.12 Mn |
AdvanSix 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=ASIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ASIX", "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=ASIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();