Optimum Communications (OPTU) Total Non-Current Liabilities (2015 - 2026)
Optimum Communications (OPTU) posted Total Non-Current Liabilities of $33.29 billion for Q2 2026, up 4.3% from $31.91 billion a year earlier and up 1.6% from the prior quarter.
Optimum Communications (OPTU) Total Non-Current Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, Optimum Communications' Total Non-Current Liabilities came in at $32.7 billion, up 2.7% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of -0.8% (FY2020 to FY2025).
- In prior years, Optimum Communications' Total Non-Current Liabilities was $31.85 billion in FY2024 (-0.9%), $32.14 billion in FY2023 (-5.2%), $33.89 billion in FY2022 (+0.3%) and $33.81 billion in FY2021 (-0.7%).
- The Q2 2026 figure stands as the highest quarterly Total Non-Current Liabilities since Q4 2022.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last four quarters, with growth averaging 1.0% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q2 2026, with growth of 4.3%; the weakest was Q4 2023, with a decline of 5.2%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $32.76 billion (Q1 2026), $32.7 billion (Q4 2025) and $32.66 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 186.92 Bn | 150.05 Bn | 27.03 Bn | 242.78 Bn |
| 2 | T-Mobile US | 171.34 Bn | 156.08 Bn | 14.76 Bn | 133.73 Bn |
| 3 | At&T | 155.02 Bn | 96.48 Bn | 26.22 Bn | 189.90 Bn |
| 4 | Grupo Televisa, S.A.B | 145.60 Bn | 137.33 Bn | 318.12 Mn | 5.55 Bn |
| 5 | Comcast | 80.99 Bn | 45.06 Bn | - | 146.48 Bn |
| 6 | Vodafone Group Public | 38.61 Bn | 8.01 Bn | - | 59.09 Bn |
| 7 | Chunghwa Telecom | 37.86 Bn | 29.87 Bn | 728.80 Mn | 18.48 Mn |
| 8 | EchoStar | 24.96 Bn | 16.05 Bn | 1.65 Bn | 21.41 Bn |
| 9 | Telefonica Brasil | 21.10 Bn | 15.12 Bn | 1.42 Bn | 187.58 Mn |
| 10 | Optimum Communications | 256.28 Mn | -4.04 Bn | 1.44 Bn | 33.29 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.29 Bn |
| Mar 31, 2026 | 32.76 Bn |
| Dec 31, 2025 | 32.70 Bn |
| Sep 30, 2025 | 32.66 Bn |
| Jun 30, 2025 | 31.91 Bn |
| Mar 31, 2025 | 31.90 Bn |
| Dec 31, 2024 | 31.85 Bn |
| Sep 30, 2024 | 31.99 Bn |
| Jun 30, 2024 | 32.17 Bn |
| Mar 31, 2024 | 32.15 Bn |
| Dec 31, 2023 | 32.14 Bn |
| Sep 30, 2023 | 32.29 Bn |
| Jun 30, 2023 | 32.28 Bn |
| Mar 31, 2023 | 32.20 Bn |
| Dec 31, 2022 | 33.89 Bn |
| Sep 30, 2022 | 33.46 Bn |
| Jun 30, 2022 | 33.44 Bn |
| Mar 31, 2022 | 33.52 Bn |
| Dec 31, 2021 | 33.65 Bn |
| Sep 30, 2021 | 33.90 Bn |
Optimum Communications 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=OPTU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "OPTU", "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=OPTU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();