Daqo New Energy (DQ) Total Liabilities (2009 - 2026)
Daqo New Energy's Total Liabilities came in at $478 million for Q2 2026, down 1.1% from $483.13 million a year earlier but up 6.3% from the prior quarter.
Daqo New Energy (DQ) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Daqo New Energy's Total Liabilities was $529.22 million, down 5.6% from FY2024.
- Total Liabilities has declined in each of the last three years, though with a five-year compound annual growth rate of 3.8% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $560.38 million in FY2024 (-42.7%), $978.58 million in FY2023 (-1.1%), $989.49 million in FY2022 (+45.6%) and $679.82 million in FY2021 (+54.4%).
- The five-year range for quarterly Total Liabilities is $449.58 million (Q1 2026) to $1.21 billion (Q1 2023).
- Year-over-year, Total Liabilities has declined for 13 consecutive quarters, with an average decline of 24.1% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q1 2022 (growth of 93.7%), and the weakest in Q4 2024 (a decline of 42.7%).
- Business Quant data shows DQ's Total Liabilities at $449.58 million (Q1 2026), $529.22 million (Q4 2025) and $497.35 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 232.21 Bn | 213.79 Bn | 4.43 Bn | 47.73 Bn |
| 2 | Corning | 116.71 Bn | 109.28 Bn | 1.63 Bn | 19.83 Bn |
| 3 | Sherwin Williams | 82.35 Bn | 81.39 Bn | 3.34 Bn | 23.10 Bn |
| 4 | Air Products & Chemicals | 67.59 Bn | 62.77 Bn | 1.04 Bn | 23.85 Bn |
| 5 | LyondellBasell Industries | 40.70 Bn | 30.21 Bn | 2.04 Bn | 23.80 Bn |
| 6 | Nutrien | 32.93 Bn | 29.76 Bn | 3.25 Bn | 27.62 Bn |
| 7 | Qnity Electronics | 25.51 Bn | 22.64 Bn | 666.00 Mn | 6.79 Bn |
| 8 | Ati | 25.03 Bn | 23.05 Bn | 309.80 Mn | 3.74 Bn |
| 9 | Ppg Industries | 24.52 Bn | 17.18 Bn | 1.81 Bn | 13.94 Bn |
| 10 | Daqo New Energy | 693.04 Mn | -3.77 Bn | -82.71 Mn | 478.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 478.00 Mn |
| Mar 31, 2026 | 449.58 Mn |
| Dec 31, 2025 | 533.01 Mn |
| Sep 30, 2025 | 497.35 Mn |
| Jun 30, 2025 | 483.13 Mn |
| Mar 31, 2025 | 497.34 Mn |
| Dec 31, 2024 | 560.38 Mn |
| Sep 30, 2024 | 724.28 Mn |
| Jun 30, 2024 | 762.47 Mn |
| Mar 31, 2024 | 861.87 Mn |
| Dec 31, 2023 | 978.58 Mn |
| Sep 30, 2023 | 948.05 Mn |
| Jun 30, 2023 | 873.81 Mn |
| Mar 31, 2023 | 1.21 Bn |
| Dec 31, 2022 | 989.49 Mn |
| Sep 30, 2022 | 1.03 Bn |
| Jun 30, 2022 | 974.16 Mn |
| Mar 31, 2022 | 1.07 Bn |
| Dec 31, 2021 | 679.82 Mn |
| Sep 30, 2021 | 543.46 Mn |
Daqo New Energy 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=DQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "DQ", "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=DQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();