Artesian Resources (ARTNA) Total Non-Current Liabilities (2010 - 2026)
Artesian Resources' Total Non-Current Liabilities was $82.26 million in Q2 2026, down 2.8% from $84.65 million a year earlier but up 0.2% from the prior quarter.
Artesian Resources (ARTNA) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Artesian Resources came in at $82.23 million, down 3.2% from FY2024.
- Total Non-Current Liabilities has now declined for three consecutive years, though with a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $84.93 million in FY2024 (-3.3%), $87.78 million in FY2023 (-0.1%), $87.86 million in FY2022 (+10.4%) and $79.58 million in FY2021 (+2.7%).
- Quarterly Total Non-Current Liabilities has moved between $74.75 million (Q3 2021) and $91.29 million (Q3 2022) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has declined for nine straight quarters, with an average decline of 3.3% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q3 2022 (growth of 22.1%); the worst was Q3 2025 (a decline of 4.2%).
- Per Business Quant data, ARTNA's Total Non-Current Liabilities in the three quarters before Q2 2026 was $82.13 million (Q1 2026), $82.23 million (Q4 2025) and $82.64 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 292.57 Bn | 292.57 Bn | 890.00 Mn | 4.60 Bn |
| 2 | National Grid | 78.85 Bn | 60.37 Bn | - | -3.15 Bn |
| 3 | Dominion Energy | 53.27 Bn | 55.95 Bn | - | 58.73 Bn |
| 4 | Xcel Energy | 44.01 Bn | 38.91 Bn | - | 44.62 Bn |
| 5 | Wec Energy | 32.84 Bn | 33.08 Bn | 1.51 Bn | 32.97 Bn |
| 6 | Ameren | 27.51 Bn | 27.59 Bn | - | 36.52 Bn |
| 7 | Fortis | 26.81 Bn | 27.29 Bn | 1.60 Bn | 36.10 Bn |
| 8 | Atmos Energy | 26.44 Bn | 25.21 Bn | 870.85 Mn | 15.51 Bn |
| 9 | American Water Works Company | 25.73 Bn | 25.14 Bn | - | 24.57 Bn |
| 10 | Artesian Resources | 313.61 Mn | 298.79 Mn | - | 82.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 82.26 Mn |
| Mar 31, 2026 | 82.13 Mn |
| Dec 31, 2025 | 82.23 Mn |
| Sep 30, 2025 | 82.64 Mn |
| Jun 30, 2025 | 84.65 Mn |
| Mar 31, 2025 | 84.46 Mn |
| Dec 31, 2024 | 84.93 Mn |
| Sep 30, 2024 | 86.26 Mn |
| Jun 30, 2024 | 88.02 Mn |
| Mar 31, 2024 | 88.14 Mn |
| Dec 31, 2023 | 87.78 Mn |
| Sep 30, 2023 | 88.23 Mn |
| Jun 30, 2023 | 88.16 Mn |
| Mar 31, 2023 | 87.69 Mn |
| Dec 31, 2022 | 87.86 Mn |
| Sep 30, 2022 | 91.29 Mn |
| Jun 30, 2022 | 79.39 Mn |
| Mar 31, 2022 | 80.30 Mn |
| Dec 31, 2021 | 79.58 Mn |
| Sep 30, 2021 | 74.75 Mn |
Artesian Resources Total Non-Current 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-non-current-liabilities&ticker=ARTNA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "ARTNA", "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-non-current-liabilities&ticker=ARTNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();