Ribbon Communications (RBBN) Depreciation and Depletion (2020 - 2026)
Ribbon Communications (RBBN) posted Depreciation and Depletion of $4.67 million for Q2 2026, up 8.9% from $4.29 million a year earlier and up 4.7% from the prior quarter.
Ribbon Communications (RBBN) Depreciation and Depletion (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation and Depletion at Ribbon Communications was $18.1 million, up 24.6% year-over-year; for FY2025, it came in at $16.73 million, up 23.6% from FY2024.
- Annual Depreciation and Depletion shows a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- In prior years, Ribbon Communications' Depreciation and Depletion was $13.54 million in FY2024 (-4.0%), $14.11 million in FY2023 (-7.8%), $15.3 million in FY2022 (-9.8%) and $16.96 million in FY2021 (-1.3%).
- The Q2 2026 figure stands as the highest quarterly Depreciation and Depletion since Q2 2020.
- On a year-over-year basis, Depreciation and Depletion has increased in each of the last six quarters, with growth averaging 15.5% over the last eight quarters.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q4 2025, with growth of 33.4%; the weakest was Q4 2022, with a decline of 15.7%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $4.46 million (Q1 2026), $4.55 million (Q4 2025) and $4.43 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,064.64 Bn | 4,810.10 Bn | 54.82 Bn | - |
| 2 | Cisco Systems | 387.30 Bn | 323.23 Bn | 11.06 Bn | - |
| 3 | Arista Networks | 233.88 Bn | 183.08 Bn | 2.33 Bn | - |
| 4 | Dell Technologies | 213.96 Bn | 169.72 Bn | 9.83 Bn | - |
| 5 | Sony | 164.26 Bn | 101.68 Bn | 7.96 Bn | - |
| 6 | Sandisk | 123.84 Bn | 108.67 Bn | 9.38 Bn | - |
| 7 | Seagate Technology Holdings | 115.23 Bn | 110.07 Bn | 2.43 Bn | - |
| 8 | Western Digital | 108.25 Bn | 98.08 Bn | 2.53 Bn | - |
| 9 | Hewlett Packard Enterprise | 63.71 Bn | 41.65 Bn | 4.93 Bn | - |
| 10 | Ribbon Communications | 250.50 Mn | 2.65 Mn | 105.53 Mn | 4.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.21 Mn |
| Jun 30, 2026 | 4.67 Mn |
| Mar 31, 2026 | 4.46 Mn |
| Dec 31, 2025 | 4.55 Mn |
| Sep 30, 2025 | 4.43 Mn |
| Jun 30, 2025 | 4.29 Mn |
| Mar 31, 2025 | 3.47 Mn |
| Dec 31, 2024 | 3.41 Mn |
| Sep 30, 2024 | 3.36 Mn |
| Jun 30, 2024 | 3.38 Mn |
| Mar 31, 2024 | 3.39 Mn |
| Dec 31, 2023 | 3.50 Mn |
| Sep 30, 2023 | 3.54 Mn |
| Jun 30, 2023 | 3.55 Mn |
| Mar 31, 2023 | 3.51 Mn |
| Dec 31, 2022 | 3.61 Mn |
| Sep 30, 2022 | 3.92 Mn |
| Jun 30, 2022 | 3.89 Mn |
| Mar 31, 2022 | 3.89 Mn |
| Dec 31, 2021 | 4.28 Mn |
Ribbon Communications Depreciation and Depletion 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=depreciation-and-depletion&ticker=RBBN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=RBBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();