AdvanSix (ASIX) Total Liabilities (2015 - 2026)
AdvanSix (ASIX) recorded Total Liabilities of $876.1 million in Q2 2026, up 6.5% from $822.67 million a year earlier but down 4.2% from the prior quarter.
AdvanSix (ASIX) Total Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, AdvanSix reported Total Liabilities of $890.93 million, up 8.6% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 1.7% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $820.27 million in FY2024 (+8.4%), $756.78 million in FY2023 (unchanged), $757.15 million in FY2022 (+6.5%) and $710.81 million in FY2021 (-13.2%).
- Quarterly Total Liabilities has ranged from $690.75 million in Q1 2023 to $914.46 million in Q1 2026 over the past five years.
- On a year-over-year basis, Total Liabilities has increased for ten consecutive quarters, with growth averaging 9.5% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 17.0% in Q3 2025, against a decline of 13.5% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $914.46 million (Q1 2026), $890.93 million (Q4 2025) and $870.12 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 232.08 Bn | 213.65 Bn | 4.43 Bn | 47.73 Bn |
| 2 | Corning | 113.97 Bn | 106.54 Bn | 1.63 Bn | 19.83 Bn |
| 3 | Sherwin Williams | 81.98 Bn | 81.03 Bn | 3.34 Bn | 23.10 Bn |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | 23.85 Bn |
| 5 | LyondellBasell Industries | 41.35 Bn | 30.86 Bn | 2.04 Bn | 23.80 Bn |
| 6 | Nutrien | 33.62 Bn | 30.45 Bn | 3.25 Bn | 27.62 Bn |
| 7 | Ati | 24.94 Bn | 22.97 Bn | 309.80 Mn | 3.74 Bn |
| 8 | Qnity Electronics | 24.80 Bn | 21.94 Bn | 666.00 Mn | 6.79 Bn |
| 9 | Ppg Industries | 24.22 Bn | 16.88 Bn | 1.81 Bn | 13.94 Bn |
| 10 | AdvanSix | 428.14 Mn | 359.89 Mn | 31.10 Mn | 876.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 876.10 Mn |
| Mar 31, 2026 | 914.46 Mn |
| Dec 31, 2025 | 890.93 Mn |
| Sep 30, 2025 | 870.12 Mn |
| Jun 30, 2025 | 822.67 Mn |
| Mar 31, 2025 | 831.61 Mn |
| Dec 31, 2024 | 820.27 Mn |
| Sep 30, 2024 | 743.83 Mn |
| Jun 30, 2024 | 731.35 Mn |
| Mar 31, 2024 | 754.83 Mn |
| Dec 31, 2023 | 756.78 Mn |
| Sep 30, 2023 | 721.97 Mn |
| Jun 30, 2023 | 692.65 Mn |
| Mar 31, 2023 | 690.75 Mn |
| Dec 31, 2022 | 757.15 Mn |
| Sep 30, 2022 | 741.26 Mn |
| Jun 30, 2022 | 764.05 Mn |
| Mar 31, 2022 | 798.73 Mn |
| Dec 31, 2021 | 710.81 Mn |
| Sep 30, 2021 | 724.05 Mn |
AdvanSix Total Liabilities 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=total-liabilities&ticker=ASIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ASIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();