Bandwidth (BAND) Total Liabilities (2016 - 2026)
Bandwidth (BAND) posted Total Liabilities of $723.27 million for Q2 2026, up 13.4% from $637.94 million a year earlier and up 25.0% from the prior quarter.
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Analysis
Bandwidth (BAND) Total Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Bandwidth's Total Liabilities came in at $652.65 million, down 3.5% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- In prior years, Bandwidth's Total Liabilities was $676.63 million in FY2024 (-15.8%), $803.66 million in FY2023 (+22.3%), $657.14 million in FY2022 (+0.6%) and $652.94 million in FY2021 (+41.7%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities since Q1 2024.
- On a year-over-year basis, Total Liabilities increased in 1 of the last eight quarters, with an average decline of 7.7%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2021, with growth of 88.0%; the weakest was Q1 2023, with a decline of 28.8%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $578.53 million (Q1 2026), $652.65 million (Q4 2025) and $640.59 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 18.22 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | 5.05 Bn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | 1.86 Bn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | 9.60 Bn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn | 2.28 Bn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn | 873.37 Mn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn | 5.01 Bn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | - |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | 1.99 Bn |
| 10 | Bandwidth | 1.88 Bn | 1.46 Bn | 78.54 Mn | 723.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 723.27 Mn |
| Mar 31, 2026 | 578.53 Mn |
| Dec 31, 2025 | 652.65 Mn |
| Sep 30, 2025 | 640.59 Mn |
| Jun 30, 2025 | 637.94 Mn |
| Mar 31, 2025 | 618.97 Mn |
| Dec 31, 2024 | 676.63 Mn |
| Sep 30, 2024 | 693.17 Mn |
| Jun 30, 2024 | 694.66 Mn |
| Mar 31, 2024 | 787.33 Mn |
| Dec 31, 2023 | 803.66 Mn |
| Sep 30, 2023 | 790.10 Mn |
| Jun 30, 2023 | 625.38 Mn |
| Mar 31, 2023 | 571.71 Mn |
| Dec 31, 2022 | 657.14 Mn |
| Sep 30, 2022 | 813.80 Mn |
| Jun 30, 2022 | 804.48 Mn |
| Mar 31, 2022 | 802.71 Mn |
| Dec 31, 2021 | 652.94 Mn |
| Sep 30, 2021 | 671.60 Mn |
API Access
Bandwidth Total 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-liabilities&ticker=BAND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=BAND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();