Bandwidth (BAND) Depreciation and Depletion (2016 - 2026)
Bandwidth's Depreciation and Depletion came in at $10.14 million for Q2 2026, up 15.9% from $8.75 million a year earlier and up 3.7% from the prior quarter.
Bandwidth (BAND) Depreciation and Depletion (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Bandwidth reported Depreciation and Depletion of $38.63 million, up 18.2% year-over-year; for FY2025, it was $35.67 million, up 12.4% from FY2024.
- Depreciation and Depletion has increased in each of the last eight years, with a five-year compound annual growth rate of 22.1% (FY2020 to FY2025).
- Going back by year, Depreciation and Depletion was $31.74 million in FY2024 (+29.8%), $24.44 million in FY2023 (+32.7%), $18.42 million in FY2022 (+5.1%) and $17.52 million in FY2021 (+33.4%).
- The Q2 2026 figure represents the highest quarterly Depreciation and Depletion in data going back to Q3 2016.
- Year-over-year, Depreciation and Depletion has increased for 32 consecutive quarters, with growth averaging 13.2% over the last eight quarters.
- The year-over-year growth in Depreciation and Depletion has ranged between 0.2% (Q4 2024) and 74.3% (Q1 2024) over the last five years.
- Business Quant data shows BAND's Depreciation and Depletion at $9.78 million (Q1 2026), $9.5 million (Q4 2025) and $9.21 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 92.94 Bn | 68.19 Bn | 6.00 Bn | - |
| 2 | Atlassian | 48.88 Bn | 42.16 Bn | 1.53 Bn | 8.30 Mn |
| 3 | Twilio | 45.24 Bn | 35.23 Bn | 725.87 Mn | 17.70 Mn |
| 4 | Autodesk | 44.31 Bn | 32.34 Bn | 1.87 Bn | - |
| 5 | Zoom Communications | 27.15 Bn | -3.64 Bn | 985.50 Mn | 27.30 Mn |
| 6 | Figma | 11.33 Bn | 4.84 Bn | 309.61 Mn | - |
| 7 | Dropbox | 7.45 Bn | 3.08 Bn | 506.50 Mn | - |
| 8 | Nice | 6.88 Bn | 5.35 Bn | 995.81 Mn | 6.26 Mn |
| 9 | RingCentral | 6.55 Bn | 6.05 Bn | 472.31 Mn | 23.00 Mn |
| 10 | Bandwidth | 1.96 Bn | 1.55 Bn | 78.54 Mn | 10.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.14 Mn |
| Mar 31, 2026 | 9.78 Mn |
| Dec 31, 2025 | 9.50 Mn |
| Sep 30, 2025 | 9.21 Mn |
| Jun 30, 2025 | 8.75 Mn |
| Mar 31, 2025 | 8.22 Mn |
| Dec 31, 2024 | 7.73 Mn |
| Sep 30, 2024 | 7.99 Mn |
| Jun 30, 2024 | 7.96 Mn |
| Mar 31, 2024 | 8.05 Mn |
| Dec 31, 2023 | 7.72 Mn |
| Sep 30, 2023 | 6.65 Mn |
| Jun 30, 2023 | 5.46 Mn |
| Mar 31, 2023 | 4.62 Mn |
| Dec 31, 2022 | 4.57 Mn |
| Sep 30, 2022 | 4.66 Mn |
| Jun 30, 2022 | 4.58 Mn |
| Mar 31, 2022 | 4.60 Mn |
| Dec 31, 2021 | 4.54 Mn |
| Sep 30, 2021 | 4.47 Mn |
Bandwidth 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=BAND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "BAND", "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=BAND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();