York Water (YORW) Total Non-Current Liabilities (2010 - 2026)
York Water (YORW) posted Total Non-Current Liabilities of $409.39 million for Q2 2026, down 2.2% from $418.66 million a year earlier and down 8.4% from the prior quarter.
York Water (YORW) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, York Water's Total Non-Current Liabilities came in at $440.06 million, up 9.5% from FY2024.
- Annual Total Non-Current Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 11.0% (FY2020 to FY2025).
- In prior years, York Water's Total Non-Current Liabilities was $401.9 million in FY2024 (+9.7%), $366.4 million in FY2023 (+21.0%), $302.73 million in FY2022 (-0.5%) and $304.15 million in FY2021 (+16.5%).
- The Q2 2026 figure stands as the lowest quarterly Total Non-Current Liabilities since Q1 2025.
- On a year-over-year basis, Total Non-Current Liabilities increased in seven of the last eight quarters, with growth averaging 8.3%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q4 2023, with growth of 21.0%; the weakest was Q2 2026, with a decline of 2.2%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $447.12 million (Q1 2026), $440.06 million (Q4 2025) and $428.53 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 | York Water | 496.89 Mn | 496.34 Mn | - | 409.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 409.39 Mn |
| Mar 31, 2026 | 447.12 Mn |
| Dec 31, 2025 | 440.06 Mn |
| Sep 30, 2025 | 428.53 Mn |
| Jun 30, 2025 | 418.66 Mn |
| Mar 31, 2025 | 409.12 Mn |
| Dec 31, 2024 | 401.90 Mn |
| Sep 30, 2024 | 392.08 Mn |
| Jun 30, 2024 | 384.57 Mn |
| Mar 31, 2024 | 378.90 Mn |
| Dec 31, 2023 | 366.40 Mn |
| Sep 30, 2023 | 343.74 Mn |
| Jun 30, 2023 | 330.48 Mn |
| Mar 31, 2023 | 315.31 Mn |
| Dec 31, 2022 | 302.73 Mn |
| Sep 30, 2022 | 288.36 Mn |
| Jun 30, 2022 | 284.66 Mn |
| Mar 31, 2022 | 312.99 Mn |
| Dec 31, 2021 | 304.15 Mn |
| Sep 30, 2021 | 277.89 Mn |
York Water 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=YORW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "YORW", "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=YORW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();