AdvanSix (ASIX) Accumulated Expenses (2015 - 2026)
AdvanSix (ASIX) recorded Accumulated Expenses of $43.56 million in Q2 2026, down 9.6% from $48.2 million a year earlier but up 42.6% from the prior quarter.
AdvanSix (ASIX) Accumulated Expenses (2015 - 2026) Analysis & Trends
At the end of FY2025, AdvanSix reported Accumulated Expenses of $45.95 million, down 2.8% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 2.2% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $47.26 million in FY2024 (+7.2%), $44.09 million in FY2023 (-9.7%), $48.82 million in FY2022 (-1.8%) and $49.71 million in FY2021 (+20.8%).
- Quarterly Accumulated Expenses has ranged from $30.55 million in Q1 2026 to $55.85 million in Q3 2025 over the past five years.
- On a year-over-year basis, Accumulated Expenses has declined for three consecutive quarters, with an average decline of 1.4% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 35.7% in Q3 2021, against a decline of 28.6% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $30.55 million (Q1 2026), $45.95 million (Q4 2025) and $55.85 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 232.92 Bn | 214.50 Bn | 4.43 Bn |
| 2 | Corning | 114.46 Bn | 107.03 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 80.97 Bn | 80.01 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 66.60 Bn | 61.78 Bn | 1.04 Bn |
| 5 | LyondellBasell Industries | 41.19 Bn | 30.70 Bn | 2.04 Bn |
| 6 | Nutrien | 33.79 Bn | 30.61 Bn | 3.25 Bn |
| 7 | Ati | 25.83 Bn | 23.86 Bn | 309.80 Mn |
| 8 | Qnity Electronics | 24.96 Bn | 22.09 Bn | 666.00 Mn |
| 9 | Ppg Industries | 23.98 Bn | 16.63 Bn | 1.81 Bn |
| 10 | AdvanSix | 434.09 Mn | 365.84 Mn | 31.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 43.56 Mn |
| Mar 31, 2026 | 30.55 Mn |
| Dec 31, 2025 | 45.95 Mn |
| Sep 30, 2025 | 55.85 Mn |
| Jun 30, 2025 | 48.20 Mn |
| Mar 31, 2025 | 42.78 Mn |
| Dec 31, 2024 | 47.26 Mn |
| Sep 30, 2024 | 55.78 Mn |
| Jun 30, 2024 | 50.22 Mn |
| Mar 31, 2024 | 46.77 Mn |
| Dec 31, 2023 | 44.09 Mn |
| Sep 30, 2023 | 41.30 Mn |
| Jun 30, 2023 | 43.31 Mn |
| Mar 31, 2023 | 40.61 Mn |
| Dec 31, 2022 | 48.82 Mn |
| Sep 30, 2022 | 44.07 Mn |
| Jun 30, 2022 | 43.45 Mn |
| Mar 31, 2022 | 40.20 Mn |
| Dec 31, 2021 | 49.71 Mn |
| Sep 30, 2021 | 48.32 Mn |
AdvanSix 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=ASIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=ASIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();