Build-A-Bear Workshop Past Earnings Performance
Past criteria checks 5/6
Build-A-Bear Workshop has been growing earnings at an average annual rate of 33.1%, while the Specialty Retail industry saw earnings growing at 4.9% annually. Revenues have been growing at an average rate of 12.1% per year. Build-A-Bear Workshop's return on equity is 38.1%, and it has net margins of 11.3%.
Key information
33.06%
Earnings growth rate
35.31%
EPS growth rate
| Specialty Retail Industry Growth | 4.13% |
| Revenue growth rate | 12.08% |
| Return on equity | 38.12% |
| Net Margin | 11.34% |
| Next Earnings Update | 04 Dec 2025 |
Recent past performance updates
Recent updates
Revenue & Expenses Breakdown
How Build-A-Bear Workshop makes and spends money. Based on latest reported earnings, on an LTM basis.
Earnings and Revenue History
| Date | Revenue | Earnings | G+A Expenses | R&D Expenses |
|---|---|---|---|---|
| 02 Aug 25 | 523 | 59 | 219 | 0 |
| 03 May 25 | 510 | 56 | 212 | 0 |
| 01 Feb 25 | 496 | 52 | 206 | 0 |
| 02 Nov 24 | 495 | 52 | 207 | 0 |
| 03 Aug 24 | 483 | 50 | 202 | 0 |
| 04 May 24 | 481 | 50 | 201 | 0 |
| 03 Feb 24 | 486 | 53 | 199 | 0 |
| 28 Oct 23 | 482 | 51 | 194 | 0 |
| 29 Jul 23 | 479 | 51 | 191 | 0 |
| 29 Apr 23 | 470 | 48 | 185 | 0 |
| 28 Jan 23 | 468 | 48 | 183 | 0 |
| 29 Oct 22 | 453 | 52 | 182 | 0 |
| 30 Jul 22 | 443 | 50 | 179 | 0 |
| 30 Apr 22 | 437 | 51 | 177 | 0 |
| 29 Jan 22 | 412 | 47 | 169 | 0 |
| 30 Oct 21 | 375 | 34 | 152 | 0 |
| 31 Jul 21 | 355 | 29 | 144 | 0 |
| 01 May 21 | 300 | 9 | 126 | 0 |
| 30 Jan 21 | 255 | -23 | 119 | 0 |
| 31 Oct 20 | 266 | -27 | 130 | 0 |
| 01 Aug 20 | 262 | -35 | 132 | 0 |
| 02 May 20 | 301 | -22 | 144 | 0 |
| 01 Feb 20 | 339 | 0 | 152 | 0 |
| 02 Nov 19 | 335 | -16 | 153 | 0 |
| 03 Aug 19 | 334 | -17 | 153 | 0 |
| 04 May 19 | 338 | -17 | 155 | 0 |
| 02 Feb 19 | 337 | -18 | 156 | 0 |
| 03 Nov 18 | 351 | -18 | 182 | 0 |
| 04 Aug 18 | 359 | -14 | 183 | 0 |
| 05 May 18 | 355 | -12 | 181 | 0 |
| 03 Feb 18 | 363 | -10 | 184 | 0 |
| 30 Dec 17 | 358 | 8 | 157 | 0 |
| 30 Sep 17 | 361 | 3 | 157 | 0 |
| 01 Jul 17 | 362 | 3 | 156 | 0 |
| 01 Apr 17 | 360 | 1 | 158 | 0 |
| 31 Dec 16 | 364 | 1 | 160 | 0 |
| 01 Oct 16 | 372 | 21 | 163 | 0 |
| 02 Jul 16 | 373 | 20 | 167 | 0 |
| 02 Apr 16 | 379 | 24 | 165 | 0 |
| 02 Jan 16 | 378 | 27 | 161 | 0 |
| 03 Oct 15 | 392 | 19 | 167 | 0 |
| 04 Jul 15 | 393 | 19 | 164 | 0 |
| 04 Apr 15 | 388 | 16 | 162 | 0 |
| 03 Jan 15 | 392 | 14 | 164 | 0 |
Quality Earnings: FPW has high quality earnings.
Growing Profit Margin: FPW's current net profit margins (11.3%) are higher than last year (10.4%).
Free Cash Flow vs Earnings Analysis
Past Earnings Growth Analysis
Earnings Trend: FPW has become profitable over the past 5 years, growing earnings by 33.1% per year.
Accelerating Growth: FPW's earnings growth over the past year (18.3%) is below its 5-year average (33.1% per year).
Earnings vs Industry: FPW earnings growth over the past year (18.3%) exceeded the Specialty Retail industry -18.6%.
Return on Equity
High ROE: FPW's Return on Equity (38.1%) is considered high.
Return on Assets
Return on Capital Employed
Discover strong past performing companies
Company Analysis and Financial Data Status
| Data | Last Updated (UTC time) |
|---|---|
| Company Analysis | 2025/12/01 07:40 |
| End of Day Share Price | 2025/11/28 00:00 |
| Earnings | 2025/08/02 |
| Annual Earnings | 2025/02/01 |
Data Sources
The data used in our company analysis is from S&P Global Market Intelligence LLC. The following data is used in our analysis model to generate this report. Data is normalised which can introduce a delay from the source being available.
| Package | Data | Timeframe | Example US Source * |
|---|---|---|---|
| Company Financials | 10 years |
| |
| Analyst Consensus Estimates | +3 years |
|
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| Market Prices | 30 years |
| |
| Ownership | 10 years |
| |
| Management | 10 years |
| |
| Key Developments | 10 years |
|
* Example for US securities, for non-US equivalent regulatory forms and sources are used.
Unless specified all financial data is based on a yearly period but updated quarterly. This is known as Trailing Twelve Month (TTM) or Last Twelve Month (LTM) Data. Learn more.
Analysis Model and Snowflake
Details of the analysis model used to generate this report is available on our Github page, we also have guides on how to use our reports and tutorials on Youtube.
Learn about the world class team who designed and built the Simply Wall St analysis model.
Industry and Sector Metrics
Our industry and section metrics are calculated every 6 hours by Simply Wall St, details of our process are available on Github.
Analyst Sources
Build-A-Bear Workshop, Inc. is covered by 15 analysts. 3 of those analysts submitted the estimates of revenue or earnings used as inputs to our report. Analysts submissions are updated throughout the day.
| Analyst | Institution |
|---|---|
| Gerrick Johnson | BMO Capital Markets Equity Research |
| Jeremy Hamblin | Colliers Securities |
| Michael Baker | D.A. Davidson & Co. |