Bath & Body Works (BBWI) Buildings (2009 - 2018)
Bath & Body Works' Buildings came in at $327 million for fiscal Q4 2026 (quarter ended Jan 31, 2026), up 1.2% from $323 million a year earlier.
Powered by 
Analysis
Bath & Body Works (BBWI) Buildings (2009 - 2018) Analysis & Trends
Going back to fiscal Q4 2010, Bath & Body Works' Buildings data covers 17 quarters.
- Buildings has increased in each of the last four fiscal years, with a five-year compound annual growth rate of 1.1% (FY2021 to FY2026).
- Going back by fiscal year, Buildings was $323 million in FY2025 (+1.3%), $319 million in FY2024 (+4.2%), $306 million in FY2023 (+1.7%) and $301 million in FY2022 (-2.9%).
- The fiscal Q4 2026 figure represents the highest quarterly Buildings since fiscal Q4 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 390.78 Bn | 342.58 Bn | 11.60 Bn |
| 2 | Colgate Palmolive | 77.96 Bn | 72.79 Bn | 3.23 Bn |
| 3 | Estee Lauder Companies | 41.21 Bn | 28.31 Bn | 2.81 Bn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn |
| 5 | Kimberly Clark | 36.84 Bn | 32.92 Bn | 1.44 Bn |
| 6 | Church & Dwight | 26.38 Bn | 24.77 Bn | 749.40 Mn |
| 7 | Clorox | 12.88 Bn | 11.29 Bn | 770.00 Mn |
| 8 | e.l.f. Beauty | 7.00 Bn | 5.82 Bn | 370.22 Mn |
| 9 | Reynolds Consumer Products | 5.26 Bn | 4.95 Bn | 236.00 Mn |
| 10 | Bath & Body Works | 4.38 Bn | 2.17 Bn | 692.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Feb 3, 2018 | 484.00 Mn |
| Jan 30, 2016 | 460.00 Mn |
| Jan 31, 2015 | 413.00 Mn |
| Feb 1, 2014 | 408.00 Mn |
| Jan 29, 2011 | 395.00 Mn |
| Jan 30, 2010 | 390.00 Mn |
| Jan 31, 2009 | 392.00 Mn |
API Access
Bath & Body Works Buildings 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=buildings&ticker=BBWI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "BBWI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=buildings&ticker=BBWI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();