Bloomin' Brands (BLMN) Other Operating Expenses (2011 - 2026)
Bloomin' Brands (BLMN) posted Other Operating Expenses of $254.83 million for Q2 2026, up 0.6% from $253.23 million a year earlier but down 1.5% from the prior quarter.
Bloomin' Brands (BLMN) Other Operating Expenses (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Other Operating Expenses at Bloomin' Brands was $1.02 billion, up 0.5% year-over-year; for FY2025, it was $1.01 billion, up 1.3% from FY2024.
- Annual Other Operating Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 3.7% (FY2020 to FY2025).
- In prior years, Bloomin' Brands' Other Operating Expenses was $1 billion in FY2024 (+1.3%), $988.67 million in FY2023 (+3.5%), $955.33 million in FY2022 (-5.1%) and $1.01 billion in FY2021 (+18.9%).
- Quarterly Other Operating Expenses has run from a low of $151.32 million in Q4 2023 to a high of $299.79 million in Q3 2021 over five years.
- On a year-over-year basis, Other Operating Expenses increased in six of the last eight quarters, with growth averaging 7.8%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q4 2024, with growth of 69.4%; the weakest was Q4 2022, with a decline of 32.4%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $258.81 million (Q1 2026), $247.32 million (Q4 2025) and $255.48 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - |
| 10 | Bloomin' Brands | 663.51 Mn | 402.89 Mn | 709.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 254.83 Mn |
| Mar 29, 2026 | 258.81 Mn |
| Dec 28, 2025 | 247.32 Mn |
| Sep 28, 2025 | 255.48 Mn |
| Jun 29, 2025 | 253.23 Mn |
| Mar 30, 2025 | 258.14 Mn |
| Dec 29, 2024 | 256.41 Mn |
| Sep 29, 2024 | 243.80 Mn |
| Jun 30, 2024 | 245.96 Mn |
| Mar 31, 2024 | 254.87 Mn |
| Dec 31, 2023 | 151.32 Mn |
| Sep 24, 2023 | 281.08 Mn |
| Jun 25, 2023 | 273.34 Mn |
| Mar 26, 2023 | 282.93 Mn |
| Dec 25, 2022 | 164.75 Mn |
| Sep 25, 2022 | 267.94 Mn |
| Jun 26, 2022 | 263.53 Mn |
| Mar 27, 2022 | 259.11 Mn |
| Dec 26, 2021 | 243.84 Mn |
| Sep 26, 2021 | 299.79 Mn |
Bloomin' Brands Other Operating 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=other-operating-expenses&ticker=BLMN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=BLMN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();