Optimum Communications (OPTU) Other Accumulated Expenses (2015 - 2026)
Optimum Communications (OPTU) reported Other Accumulated Expenses of $438.44 million for Q2 2026, down 23.6% from $573.91 million a year earlier but up 4.4% from the prior quarter.
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Analysis
Optimum Communications (OPTU) Other Accumulated Expenses (2015 - 2026) Analysis & Trends
At the end of FY2025, Optimum Communications posted Other Accumulated Expenses of $413.71 million, down 2.8% from FY2024.
- Other Accumulated Expenses has a five-year compound annual growth rate of -5.6% (FY2020 to FY2025).
- By year, Other Accumulated Expenses came in at $425.46 million in FY2024 (-9.5%), $470.1 million in FY2023 (+68.7%), $278.58 million in FY2022 (-15.6%) and $329.94 million in FY2021 (-40.3%).
- Five-year quarterly Other Accumulated Expenses spans a low of $278.58 million in Q4 2022 and a high of $573.91 million in Q2 2025.
- Year over year, Other Accumulated Expenses has now declined in each of the last three quarters, with growth averaging 9.7% over the last eight quarters.
- The high point for year-over-year Other Accumulated Expenses in five years was Q4 2023 (growth of 68.7%); the low point was Q4 2021 (a decline of 40.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $419.79 million (Q1 2026), $413.71 million (Q4 2025) and $426.83 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 190.87 Bn | 155.27 Bn | 27.03 Bn |
| 2 | T-Mobile US | 175.88 Bn | 160.63 Bn | 14.76 Bn |
| 3 | At&T | 166.65 Bn | 114.60 Bn | 25.82 Bn |
| 4 | Grupo Televisa, S.A.B | 142.49 Bn | 131.12 Bn | 318.12 Mn |
| 5 | Comcast | 76.29 Bn | 40.54 Bn | - |
| 6 | Chunghwa Telecom | 35.81 Bn | 31.66 Bn | 728.80 Mn |
| 7 | EchoStar | 27.35 Bn | 18.48 Bn | 1.65 Bn |
| 8 | AST SpaceMobile | 22.74 Bn | 23.25 Bn | 7.95 Mn |
| 9 | Telefonica Brasil | 18.42 Bn | 12.42 Bn | 1.42 Bn |
| 10 | Optimum Communications | 410.05 Mn | -3.85 Bn | 1.44 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 438.44 Mn |
| Mar 31, 2026 | 419.79 Mn |
| Dec 31, 2025 | 413.71 Mn |
| Sep 30, 2025 | 426.83 Mn |
| Jun 30, 2025 | 573.91 Mn |
| Mar 31, 2025 | 530.65 Mn |
| Dec 31, 2024 | 425.46 Mn |
| Sep 30, 2024 | 291.50 Mn |
| Jun 30, 2024 | 367.62 Mn |
| Mar 31, 2024 | 408.87 Mn |
| Dec 31, 2023 | 470.10 Mn |
| Sep 30, 2023 | 286.64 Mn |
| Jun 30, 2023 | 279.09 Mn |
| Mar 31, 2023 | 341.43 Mn |
| Dec 31, 2022 | 278.58 Mn |
| Sep 30, 2022 | 352.77 Mn |
| Jun 30, 2022 | 320.92 Mn |
| Mar 31, 2022 | 373.17 Mn |
| Dec 31, 2021 | 329.94 Mn |
| Sep 30, 2021 | 393.42 Mn |
API Access
Optimum Communications Other Accumulated Expenses 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=other-accumulated-expenses&ticker=OPTU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=OPTU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();