Optimum Communications (OPTU) Restructuring Costs (2016 - 2026)
Optimum Communications' Restructuring Costs was $206.97 million in Q2 2026, up 209.7% from $66.83 million a year earlier but down 92.4% from the prior quarter.
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Analysis
Optimum Communications (OPTU) Restructuring Costs (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Optimum Communications' Restructuring Costs was $4.53 billion through Jun 30, 2026; for FY2025, it came in at $1.69 billion.
- Restructuring Costs shows a five-year compound annual growth rate of 79.3% (FY2020 to FY2025).
- In earlier years, Restructuring Costs was $23.7 million in FY2024 (-89.0%), $214.73 million in FY2023 (+64.8%), $130.29 million in FY2022 (+658.5%) and $17.18 million in FY2021 (-81.1%).
- Quarterly Restructuring Costs has moved between -$46.6 million (Q2 2024) and $2.73 billion (Q1 2026) over five years.
- Compared with a year earlier, Restructuring Costs was higher in three of the last five quarters, with growth averaging 94.9%.
- The best year-over-year quarter for Restructuring Costs over five years was Q1 2023 (growth of 778.4%); the worst was Q4 2024 (a decline of 95.3%).
- Per Business Quant data, OPTU's Restructuring Costs in the three quarters before Q2 2026 was $2.73 billion (Q1 2026), $30.56 million (Q4 2025) and $1.57 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 191.08 Bn | 155.48 Bn | 27.03 Bn |
| 2 | T-Mobile US | 175.17 Bn | 159.92 Bn | 14.76 Bn |
| 3 | At&T | 167.81 Bn | 115.76 Bn | 25.82 Bn |
| 4 | Grupo Televisa, S.A.B | 146.22 Bn | 134.85 Bn | 318.12 Mn |
| 5 | Comcast | 76.40 Bn | 40.65 Bn | - |
| 6 | Chunghwa Telecom | 35.35 Bn | 31.20 Bn | 728.80 Mn |
| 7 | EchoStar | 26.08 Bn | 17.22 Bn | 1.65 Bn |
| 8 | AST SpaceMobile | 23.11 Bn | 23.62 Bn | 7.95 Mn |
| 9 | Bce | 18.79 Bn | 17.12 Bn | - |
| 10 | Optimum Communications | 454.62 Mn | -3.80 Bn | 1.44 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 206.97 Mn |
| Mar 31, 2026 | 2.73 Bn |
| Dec 31, 2025 | 30.56 Mn |
| Sep 30, 2025 | 1.57 Bn |
| Jun 30, 2025 | 66.83 Mn |
| Mar 31, 2025 | 21.62 Mn |
| Dec 31, 2024 | 8.17 Mn |
| Sep 30, 2024 | 10.87 Mn |
| Jun 30, 2024 | -46.60 Mn |
| Mar 31, 2024 | 51.25 Mn |
| Dec 31, 2023 | 175.42 Mn |
| Sep 30, 2023 | 4.45 Mn |
| Jun 30, 2023 | 5.18 Mn |
| Mar 31, 2023 | 29.67 Mn |
| Dec 31, 2022 | 120.23 Mn |
| Sep 30, 2022 | 4.01 Mn |
| Jun 30, 2022 | 2.67 Mn |
| Mar 31, 2022 | 3.38 Mn |
| Dec 31, 2021 | 6.22 Mn |
| Sep 30, 2021 | 1.89 Mn |
API Access
Optimum Communications Restructuring Costs 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=restructuring-costs&ticker=OPTU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=OPTU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();