Optimum Communications (OPTU) Goodwill & Intangibles (2015 - 2026)
Optimum Communications (OPTU) posted Goodwill & Intangibles of $16.94 billion for Q2 2026, down 20.3% from $21.25 billion a year earlier and unchanged from the prior quarter.
Optimum Communications (OPTU) Goodwill & Intangibles (2015 - 2026) Analysis & Trends
At the end of FY2025, Optimum Communications' Goodwill & Intangibles came in at $19.64 billion, down 7.6% from FY2024.
- Annual Goodwill & Intangibles shows a five-year compound annual growth rate of -1.5% (FY2020 to FY2025).
- In prior years, Optimum Communications' Goodwill & Intangibles was $21.25 billion in FY2024 (unchanged), $21.26 billion in FY2023 (-0.8%), $21.43 billion in FY2022 (unchanged) and $21.42 billion in FY2021 (+0.9%).
- Quarterly Goodwill & Intangibles has run from a low of $16.94 billion in Q1 2026 to a high of $21.43 billion in Q2 2023 over five years.
- On a year-over-year basis, Goodwill & Intangibles has declined in each of the last four quarters, with an average decline of 7.1% over the last eight quarters.
- The strongest year-over-year quarter for Goodwill & Intangibles in the past five years was Q3 2021, with growth of 0.9%; the weakest was Q1 2026, with a decline of 20.3%.
- According to Business Quant data, Goodwill & Intangibles for the three prior quarters was $16.94 billion (Q1 2026), $19.64 billion (Q4 2025) and $19.64 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 191.00 Bn | 155.40 Bn | 27.03 Bn |
| 2 | T-Mobile US | 173.83 Bn | 158.58 Bn | 14.76 Bn |
| 3 | At&T | 166.58 Bn | 114.53 Bn | 25.82 Bn |
| 4 | Grupo Televisa, S.A.B | 140.00 Bn | 128.63 Bn | 318.12 Mn |
| 5 | Comcast | 76.75 Bn | 41.00 Bn | - |
| 6 | Chunghwa Telecom | 35.34 Bn | 31.19 Bn | 728.80 Mn |
| 7 | EchoStar | 25.60 Bn | 16.74 Bn | 1.65 Bn |
| 8 | AST SpaceMobile | 22.19 Bn | 22.70 Bn | 7.95 Mn |
| 9 | Bce | 18.58 Bn | 16.90 Bn | - |
| 10 | Optimum Communications | 423.42 Mn | -3.83 Bn | 1.44 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.94 Bn |
| Mar 31, 2026 | 16.94 Bn |
| Dec 31, 2025 | 19.64 Bn |
| Sep 30, 2025 | 19.64 Bn |
| Jun 30, 2025 | 21.25 Bn |
| Mar 31, 2025 | 21.25 Bn |
| Dec 31, 2024 | 21.25 Bn |
| Sep 30, 2024 | 21.26 Bn |
| Jun 30, 2024 | 21.26 Bn |
| Mar 31, 2024 | 21.26 Bn |
| Dec 31, 2023 | 21.26 Bn |
| Sep 30, 2023 | 21.42 Bn |
| Jun 30, 2023 | 21.43 Bn |
| Mar 31, 2023 | 21.43 Bn |
| Dec 31, 2022 | 21.43 Bn |
| Sep 30, 2022 | 21.42 Bn |
| Jun 30, 2022 | 21.42 Bn |
| Mar 31, 2022 | 21.42 Bn |
| Dec 31, 2021 | 21.42 Bn |
| Sep 30, 2021 | 21.42 Bn |
Optimum Communications Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=OPTU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=OPTU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();