Optimum Communications (OPTU) Other Operating Expenses (2016 - 2026)
Optimum Communications (OPTU) recorded Other Operating Expenses of $655.96 million in Q2 2026, down 5.9% from $696.87 million a year earlier and down 0.6% from the prior quarter.
Optimum Communications (OPTU) Other Operating Expenses (2016 - 2026) Analysis & Trends
On a TTM basis, Optimum Communications' Other Operating Expenses came in at $2.6 billion as of Jun 30, 2026, down 5.8% year-over-year; for FY2025, it was $2.68 billion, down 1.1% from FY2024.
- Annual Other Operating Expenses has a five-year compound annual growth rate of 3.4% (FY2020 to FY2025).
- Across earlier years, Other Operating Expenses came in at $2.71 billion in FY2024 (+2.5%), $2.65 billion in FY2023 (-3.3%), $2.74 billion in FY2022 (+14.9%) and $2.38 billion in FY2021 (+5.1%).
- Quarterly Other Operating Expenses has ranged from $590.52 million in Q3 2021 to $725.71 million in Q4 2022 over the past five years.
- On a year-over-year basis, Other Operating Expenses has declined for four consecutive quarters, with an average decline of 1.4% over the last eight quarters.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 17.6% in Q3 2022, against a decline of 8.1% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $660.2 million (Q1 2026), $636.23 million (Q4 2025) and $650.45 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 190.70 Bn | 155.11 Bn | 27.03 Bn |
| 2 | T-Mobile US | 175.28 Bn | 160.03 Bn | 14.76 Bn |
| 3 | At&T | 167.47 Bn | 115.42 Bn | 25.82 Bn |
| 4 | Grupo Televisa, S.A.B | 141.87 Bn | 130.50 Bn | 318.12 Mn |
| 5 | Comcast | 76.96 Bn | 41.21 Bn | - |
| 6 | Chunghwa Telecom | 35.31 Bn | 31.16 Bn | 728.80 Mn |
| 7 | EchoStar | 25.94 Bn | 17.08 Bn | 1.65 Bn |
| 8 | AST SpaceMobile | 22.90 Bn | 23.41 Bn | 7.95 Mn |
| 9 | Bce | 18.99 Bn | 17.31 Bn | - |
| 10 | Optimum Communications | 445.70 Mn | -3.81 Bn | 1.44 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 655.96 Mn |
| Mar 31, 2026 | 660.20 Mn |
| Dec 31, 2025 | 636.23 Mn |
| Sep 30, 2025 | 650.45 Mn |
| Jun 30, 2025 | 696.87 Mn |
| Mar 31, 2025 | 698.19 Mn |
| Dec 31, 2024 | 692.47 Mn |
| Sep 30, 2024 | 674.56 Mn |
| Jun 30, 2024 | 670.54 Mn |
| Mar 31, 2024 | 674.25 Mn |
| Dec 31, 2023 | 671.61 Mn |
| Sep 30, 2023 | 667.28 Mn |
| Jun 30, 2023 | 656.13 Mn |
| Mar 31, 2023 | 651.25 Mn |
| Dec 31, 2022 | 725.71 Mn |
| Sep 30, 2022 | 694.39 Mn |
| Jun 30, 2022 | 673.46 Mn |
| Mar 31, 2022 | 641.91 Mn |
| Dec 31, 2021 | 619.63 Mn |
| Sep 30, 2021 | 590.52 Mn |
Optimum Communications Other Operating 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-operating-expenses&ticker=OPTU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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-operating-expenses&ticker=OPTU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();