Build-A-Bear Workshop (BBW) Total Liabilities (2010 - 2026)
Build-A-Bear Workshop's Total Liabilities was $175.1 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 7.5% from $162.84 million a year earlier but down 10.2% from the prior quarter.
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Analysis
Build-A-Bear Workshop (BBW) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Total Liabilities at Build-A-Bear Workshop came in at $190.43 million, up 26.2% from FY2025.
- Total Liabilities shows a five-year compound annual growth rate of -0.4% (FY2021 to FY2026).
- In earlier fiscal years, Total Liabilities was $150.87 million in FY2025 (+5.8%), $142.66 million in FY2024 (-12.2%), $162.46 million in FY2023 (-5.9%) and $172.64 million in FY2022 (-11.0%).
- Quarterly Total Liabilities has moved between $136.94 million (fiscal Q1 2025) and $195.07 million (fiscal Q1 2027) over five years.
- Compared with a year earlier, Total Liabilities has increased for nine straight quarters, with growth averaging 13.7% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q4 2026 (growth of 26.2%); the worst was fiscal Q1 2023 (a decline of 15.3%).
- Per Business Quant data, BBW's Total Liabilities in the three fiscal quarters before Q2 2027 was $195.07 million (Q1 2027), $190.43 million (Q4 2026) and $175.88 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 9.24 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 43.39 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 19.22 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 9.41 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 23.70 Bn |
| 10 | Build-A-Bear Workshop | 316.04 Mn | 221.30 Mn | 62.49 Mn | 175.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 175.10 Mn |
| May 2, 2026 | 195.07 Mn |
| Jan 31, 2026 | 190.43 Mn |
| Nov 1, 2025 | 175.88 Mn |
| Aug 2, 2025 | 162.84 Mn |
| May 3, 2025 | 159.62 Mn |
| Feb 1, 2025 | 150.87 Mn |
| Nov 2, 2024 | 157.29 Mn |
| Aug 3, 2024 | 153.67 Mn |
| May 4, 2024 | 136.94 Mn |
| Feb 3, 2024 | 142.66 Mn |
| Oct 28, 2023 | 138.90 Mn |
| Jul 29, 2023 | 150.55 Mn |
| Apr 29, 2023 | 152.74 Mn |
| Jan 28, 2023 | 162.46 Mn |
| Oct 29, 2022 | 162.70 Mn |
| Jul 30, 2022 | 169.57 Mn |
| Apr 30, 2022 | 157.89 Mn |
| Jan 29, 2022 | 172.64 Mn |
| Oct 30, 2021 | 178.93 Mn |
API Access
Build-A-Bear Workshop 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=BBW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "BBW", "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=BBW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();