Build-A-Bear Workshop (BBW) Cost of Revenue (2009 - 2026)
Build-A-Bear Workshop's Cost of Revenue was $52.8 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 0.1% from $52.74 million a year earlier and up 16.3% from the prior quarter.
Build-A-Bear Workshop (BBW) Cost of Revenue (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Build-A-Bear Workshop's Cost of Revenue was $224.26 million through Aug 1, 2026, down 1.7% year-over-year; for FY2026 (ended Jan 31, 2026), it was $234.2 million, up 4.6% from FY2025.
- Cost of Revenue shows a five-year compound annual growth rate of 8.2% (FY2021 to FY2026).
- In earlier fiscal years, Cost of Revenue was $223.89 million in FY2025 (+1.0%), $221.72 million in FY2024 (-0.2%), $222.07 million in FY2023 (+14.7%) and $193.57 million in FY2022 (+22.6%).
- Quarterly Cost of Revenue has moved between $45.4 million (fiscal Q1 2027) and $69.2 million (fiscal Q4 2026) over five years.
- Compared with a year earlier, Cost of Revenue was higher in seven of the last eight quarters, with growth averaging 1.0%.
- The best year-over-year quarter for Cost of Revenue over five years was fiscal Q4 2022 (growth of 29.7%); the worst was fiscal Q1 2027 (a decline of 18.1%).
- Per Business Quant data, BBW's Cost of Revenue in the three fiscal quarters before Q2 2027 was $45.4 million (Q1 2027), $69.2 million (Q4 2026) and $56.86 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | 94.57 Bn |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | 31.75 Bn |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | 10.11 Bn |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | 17.38 Bn |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | 6.52 Bn |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | 4.15 Bn |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | 17.60 Bn |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | 2.44 Bn |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | 3.08 Bn |
| 10 | Build-A-Bear Workshop | 374.26 Mn | 279.52 Mn | 62.49 Mn | 52.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 52.80 Mn |
| May 2, 2026 | 45.40 Mn |
| Jan 31, 2026 | 69.20 Mn |
| Nov 1, 2025 | 56.86 Mn |
| Aug 2, 2025 | 52.74 Mn |
| May 3, 2025 | 55.41 Mn |
| Feb 1, 2025 | 65.30 Mn |
| Nov 2, 2024 | 54.79 Mn |
| Aug 3, 2024 | 51.23 Mn |
| May 4, 2024 | 52.57 Mn |
| Feb 3, 2024 | 65.06 Mn |
| Oct 28, 2023 | 50.93 Mn |
| Jul 29, 2023 | 50.59 Mn |
| Apr 29, 2023 | 55.15 Mn |
| Jan 28, 2023 | 65.31 Mn |
| Oct 29, 2022 | 50.15 Mn |
| Jul 30, 2022 | 50.77 Mn |
| Apr 30, 2022 | 55.83 Mn |
| Jan 29, 2022 | 60.45 Mn |
| Oct 30, 2021 | 45.53 Mn |
Build-A-Bear Workshop Cost of Revenue 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=cost-of-revenue&ticker=BBW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=BBW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();