Ribbon Communications (RBBN) Operating Expenses (2017 - 2026)
Ribbon Communications' Operating Expenses came in at $102.56 million for Q2 2026, down 2.4% from $105.08 million a year earlier but up 1.2% from the prior quarter.
Ribbon Communications (RBBN) Operating Expenses (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Ribbon Communications reported Operating Expenses of $420.92 million, down 0.8% year-over-year; for FY2025, it came in at $424.03 million, up 0.3% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of -1.1% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $422.64 million in FY2024 (-2.2%), $432.37 million in FY2023 (-3.8%), $449.26 million in FY2022 (-20.1%) and $562.46 million in FY2021 (+25.2%).
- The five-year range for quarterly Operating Expenses is $99.8 million (Q2 2024) to $234.93 million (Q4 2021).
- Year-over-year, Operating Expenses increased in four of the last eight quarters, with growth averaging 1.0%.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2021 (growth of 175.8%), and the weakest in Q4 2022 (a decline of 52.0%).
- Business Quant data shows RBBN's Operating Expenses at $101.39 million (Q1 2026), $111.77 million (Q4 2025) and $105.2 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 2.07 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 465.00 Mn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 14.83 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 10.82 Bn |
| 10 | Ribbon Communications | 309.28 Mn | 27.01 Mn | 90.34 Mn | 102.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 102.56 Mn |
| Mar 31, 2026 | 101.39 Mn |
| Dec 31, 2025 | 111.77 Mn |
| Sep 30, 2025 | 105.20 Mn |
| Jun 30, 2025 | 105.08 Mn |
| Mar 31, 2025 | 101.98 Mn |
| Dec 31, 2024 | 106.85 Mn |
| Sep 30, 2024 | 110.54 Mn |
| Jun 30, 2024 | 99.80 Mn |
| Mar 31, 2024 | 105.44 Mn |
| Dec 31, 2023 | 105.04 Mn |
| Sep 30, 2023 | 102.65 Mn |
| Jun 30, 2023 | 108.09 Mn |
| Mar 31, 2023 | 116.59 Mn |
| Dec 31, 2022 | 112.75 Mn |
| Sep 30, 2022 | 107.61 Mn |
| Jun 30, 2022 | 111.79 Mn |
| Mar 31, 2022 | 117.11 Mn |
| Dec 31, 2021 | 234.93 Mn |
| Sep 30, 2021 | 108.66 Mn |
Ribbon Communications 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=operating-expenses&ticker=RBBN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "RBBN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=RBBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();