Bloomin' Brands (BLMN) Accumulated Expenses (2011 - 2026)
Bloomin' Brands (BLMN) reported Accumulated Expenses of $183.49 million for Q2 2026, up 12.1% from $163.75 million a year earlier and up 16.9% from the prior quarter.
Powered by 
Analysis
Bloomin' Brands (BLMN) Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2025, Bloomin' Brands posted Accumulated Expenses of $186.26 million, up 4.5% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of -13.7% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $178.31 million in FY2024 (-9.8%), $197.68 million in FY2023 (-9.1%), $217.43 million in FY2022 (-46.6%) and $406.89 million in FY2021 (+4.8%).
- Five-year quarterly Accumulated Expenses spans a low of $156.36 million in Q1 2025 and a high of $444.59 million in Q3 2021.
- Year over year, Accumulated Expenses has now increased in each of the last three quarters, with an average decline of 10.2% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q2 2026 (growth of 12.1%); the low point was Q2 2023 (a decline of 48.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $156.93 million (Q1 2026), $186.26 million (Q4 2025) and $161.06 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 178.84 Bn | 173.66 Bn | 6.42 Bn |
| 2 | Starbucks | 115.91 Bn | 103.53 Bn | - |
| 3 | Yum Brands | 42.35 Bn | 39.23 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 35.66 Bn | 31.64 Bn | - |
| 5 | Restaurant Brands International | 26.55 Bn | 22.11 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.69 Bn | 23.79 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 16.93 Bn | 12.49 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 15.53 Bn | 9.19 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 11.32 Bn | 10.66 Bn | - |
| 10 | Bloomin' Brands | 877.41 Mn | 613.55 Mn | 709.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 183.49 Mn |
| Mar 29, 2026 | 156.93 Mn |
| Dec 28, 2025 | 186.26 Mn |
| Sep 28, 2025 | 161.06 Mn |
| Jun 29, 2025 | 163.75 Mn |
| Mar 30, 2025 | 156.36 Mn |
| Dec 29, 2024 | 178.31 Mn |
| Sep 29, 2024 | 217.77 Mn |
| Jun 30, 2024 | 210.66 Mn |
| Mar 31, 2024 | 225.17 Mn |
| Dec 31, 2023 | 197.68 Mn |
| Sep 24, 2023 | 242.00 Mn |
| Jun 25, 2023 | 211.48 Mn |
| Mar 26, 2023 | 399.47 Mn |
| Dec 25, 2022 | 217.43 Mn |
| Sep 25, 2022 | 430.19 Mn |
| Jun 26, 2022 | 412.83 Mn |
| Mar 27, 2022 | 426.42 Mn |
| Dec 26, 2021 | 406.89 Mn |
| Sep 26, 2021 | 444.59 Mn |
API Access
Bloomin' Brands Accumulated Expenses 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=accumulated-expenses&ticker=BLMN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "BLMN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=BLMN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();