Bandwidth (BAND) Total Non-Current Liabilities (2016 - 2026)
Bandwidth (BAND) reported Total Non-Current Liabilities of $721.54 million for Q2 2026, up 13.2% from $637.36 million a year earlier and up 25.1% from the prior quarter.
Bandwidth (BAND) Total Non-Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Bandwidth posted Total Non-Current Liabilities of $652.1 million, down 3.5% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 7.3% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $676.06 million in FY2024 (-15.8%), $803.27 million in FY2023 (+24.4%), $645.97 million in FY2022 (-0.1%) and $646.93 million in FY2021 (+40.9%).
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities since Q1 2024.
- Year over year, Total Non-Current Liabilities gained in 1 of the last eight quarters, with an average decline of 7.8%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q4 2021 (growth of 40.9%); the low point was Q1 2023 (a decline of 29.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $576.9 million (Q1 2026), $652.1 million (Q4 2025) and $639.98 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 93.82 Bn | 69.07 Bn | 6.00 Bn | 17.64 Bn |
| 2 | Atlassian | 46.64 Bn | 39.92 Bn | 1.53 Bn | 4.95 Bn |
| 3 | Twilio | 44.91 Bn | 34.90 Bn | 725.87 Mn | 1.85 Bn |
| 4 | Autodesk | 43.68 Bn | 31.72 Bn | 1.87 Bn | 9.27 Bn |
| 5 | Zoom Communications | 26.53 Bn | -4.25 Bn | 985.50 Mn | 2.17 Bn |
| 6 | Figma | 11.16 Bn | 4.66 Bn | 309.61 Mn | 865.77 Mn |
| 7 | Dropbox | 7.44 Bn | 3.07 Bn | 506.50 Mn | 4.94 Bn |
| 8 | Nice | 6.72 Bn | 5.19 Bn | 995.81 Mn | 238.53 Mn |
| 9 | RingCentral | 6.26 Bn | 5.75 Bn | 472.31 Mn | 1.96 Bn |
| 10 | Bandwidth | 1.87 Bn | 1.45 Bn | 78.54 Mn | 721.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 721.54 Mn |
| Mar 31, 2026 | 576.90 Mn |
| Dec 31, 2025 | 652.10 Mn |
| Sep 30, 2025 | 639.98 Mn |
| Jun 30, 2025 | 637.36 Mn |
| Mar 31, 2025 | 618.39 Mn |
| Dec 31, 2024 | 676.06 Mn |
| Sep 30, 2024 | 692.81 Mn |
| Jun 30, 2024 | 694.30 Mn |
| Mar 31, 2024 | 786.96 Mn |
| Dec 31, 2023 | 803.27 Mn |
| Sep 30, 2023 | 789.48 Mn |
| Jun 30, 2023 | 561.13 Mn |
| Mar 31, 2023 | 558.40 Mn |
| Dec 31, 2022 | 645.97 Mn |
| Sep 30, 2022 | 804.20 Mn |
| Jun 30, 2022 | 796.40 Mn |
| Mar 31, 2022 | 795.60 Mn |
| Dec 31, 2021 | 646.93 Mn |
| Sep 30, 2021 | 666.18 Mn |
Bandwidth Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=BAND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=BAND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();