Optimum Communications (OPTU) Change in Accured Expenses (2016 - 2026)
Optimum Communications (OPTU) posted Change in Accured Expenses of $51.34 million for Q2 2026, down 56.3% from $117.61 million a year earlier.
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Analysis
Optimum Communications (OPTU) Change in Accured Expenses (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Optimum Communications was $35.47 million, up 0.4% year-over-year; for FY2025, it came in at $7.5 million, down 94.3% from FY2024.
- Annual Change in Accured Expenses shows a three-year compound annual growth rate of 0.4% (FY2022 to FY2025).
- In prior years, Optimum Communications' Change in Accured Expenses was $131.7 million in FY2024 (+346.0%), $29.53 million in FY2023 (+298.1%) and $7.42 million in FY2022.
- Quarterly Change in Accured Expenses has run from a low of -$120.86 million in Q1 2025 to a high of $117.61 million in Q2 2025 over five years.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$26.61 million (Q1 2026), $73.25 million (Q4 2025) and -$62.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (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 | -265.00 Mn |
| 3 | At&T | 166.65 Bn | 114.60 Bn | 25.82 Bn | 205.00 Mn |
| 4 | Grupo Televisa, S.A.B | 142.49 Bn | 131.12 Bn | 318.12 Mn | - |
| 5 | Comcast | 76.29 Bn | 40.54 Bn | - | -161.00 Mn |
| 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 | 21.50 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 | 51.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51.34 Mn |
| Mar 31, 2026 | -26.61 Mn |
| Dec 31, 2025 | 73.25 Mn |
| Sep 30, 2025 | -62.50 Mn |
| Jun 30, 2025 | 117.61 Mn |
| Mar 31, 2025 | -120.86 Mn |
| Dec 31, 2024 | 114.71 Mn |
| Sep 30, 2024 | -76.12 Mn |
| Jun 30, 2024 | 63.23 Mn |
| Mar 31, 2024 | 29.88 Mn |
| Sep 30, 2020 | -118.44 Mn |
| Jun 30, 2020 | 175.97 Mn |
| Mar 31, 2020 | -188.77 Mn |
| Dec 31, 2019 | 189.91 Mn |
| Sep 30, 2019 | -135.45 Mn |
| Jun 30, 2019 | 141.01 Mn |
| Mar 31, 2019 | -239.56 Mn |
| Dec 31, 2018 | -8.53 Mn |
| Sep 30, 2018 | -11.87 Mn |
| Jun 30, 2018 | 114.56 Mn |
API Access
Optimum Communications Change in Accured 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=change-in-accured-expenses&ticker=OPTU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=OPTU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();