Bloomin' Brands (BLMN) Return on Sales [ROS] (2011 - 2026)
Bloomin' Brands (BLMN) recorded Return on Sales [ROS] of 3.77% in Q2 2026, up 0.81 percentage points from 2.96% a year earlier but down 1.81 percentage points from the prior quarter.
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Analysis
Bloomin' Brands (BLMN) Return on Sales [ROS] (2011 - 2026) Analysis & Trends
On a TTM basis, Bloomin' Brands' Return on Sales [ROS] came in at 1.20% as of Jun 28, 2026, down 1.64 percentage points year-over-year; for FY2025, it was 0.94%, down 2.60 percentage points from FY2024.
- Annual Return on Sales [ROS] has declined for three straight years, though with a five-year change of +6.46 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 3.54% in FY2024 (-3.25 pp), 6.78% in FY2023 (-0.85 pp), 7.63% in FY2022 (+0.14 pp) and 7.49% in FY2021 (+13.01 pp).
- Quarterly Return on Sales [ROS] has ranged from -3.92% in Q3 2025 to 9.55% in Q1 2023 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in two of the last eight quarters, with an average year-over-year change of -2.08 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 8.39 percentage points in Q4 2021, against a drop of 4.87 percentage points in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 5.58% (Q1 2026), -1.36% (Q4 2025) and -3.92% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | 47.02% |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | 10.52% |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | 15.70% |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 30.20% |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | 28.41% |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn | 9.98% |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 28.41% |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn | 11.09% |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | 8.50% |
| 10 | Bloomin' Brands | 726.01 Mn | 465.39 Mn | 709.41 Mn | 3.77% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 3.77% |
| Mar 29, 2026 | 5.58% |
| Dec 28, 2025 | -1.36% |
| Sep 28, 2025 | -3.92% |
| Jun 29, 2025 | 2.96% |
| Mar 30, 2025 | 5.45% |
| Dec 29, 2024 | 1.67% |
| Sep 29, 2024 | 0.95% |
| Jun 30, 2024 | 4.41% |
| Mar 31, 2024 | 6.63% |
| Dec 31, 2023 | 4.63% |
| Sep 24, 2023 | 5.02% |
| Jun 25, 2023 | 7.62% |
| Mar 26, 2023 | 9.55% |
| Dec 25, 2022 | 8.69% |
| Sep 25, 2022 | 4.86% |
| Jun 26, 2022 | 7.80% |
| Mar 27, 2022 | 9.40% |
| Dec 26, 2021 | 7.50% |
| Sep 26, 2021 | 1.47% |
API Access
Bloomin' Brands Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=BLMN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=BLMN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();