Bloomin' Brands (BLMN) Return on Capital Employed [ROCE] (2012 - 2026)
Bloomin' Brands' Return on Capital Employed [ROCE] came in at 2.08% for Q2 2026, down 2.34 percentage points from 4.42% a year earlier but up 0.41 percentage points from the prior quarter.
Bloomin' Brands (BLMN) Return on Capital Employed [ROCE] (2012 - 2026) Analysis & Trends
For FY2025, Bloomin' Brands' Return on Capital Employed [ROCE] was 1.55%, down 4.15 percentage points from FY2024.
- Return on Capital Employed [ROCE] has declined in each of the last four years, though with a five-year change of +8.47 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was 5.70% in FY2024 (-6.23 pp), 11.93% in FY2023 (-1.21 pp), 13.15% in FY2022 (-0.04 pp) and 13.18% in FY2021 (+20.11 pp).
- The five-year range for quarterly Return on Capital Employed [ROCE] is 1.58% (Q4 2025) to 14.06% (Q1 2022).
- Year-over-year, Return on Capital Employed [ROCE] has declined for 12 consecutive quarters, with an average year-over-year change of -4.29 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q4 2021 (a gain of 20.85 percentage points), and the weakest in Q4 2024 (a drop of 6.16 percentage points).
- Business Quant data shows BLMN's Return on Capital Employed [ROCE] at 1.67% (Q1 2026), 1.58% (Q4 2025) and 2.65% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.07 Bn | 158.89 Bn | 6.42 Bn | 22.88% |
| 2 | Starbucks | 108.16 Bn | 95.79 Bn | - | 15.26% |
| 3 | Chipotle Mexican Grill | 40.91 Bn | 36.89 Bn | - | 24.21% |
| 4 | Yum Brands | 37.32 Bn | 34.20 Bn | 1.47 Bn | 65.06% |
| 5 | Restaurant Brands International | 24.36 Bn | 21.46 Bn | 1.38 Bn | 11.51% |
| 6 | Darden Restaurants | 22.52 Bn | 21.62 Bn | -113.70 Mn | 16.04% |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 11.51% |
| 8 | Yum China Holdings | 14.14 Bn | 8.50 Bn | 537.00 Mn | 16.42% |
| 9 | Texas Roadhouse | 10.28 Bn | 9.64 Bn | - | 17.04% |
| 10 | Bloomin' Brands | 717.45 Mn | 456.83 Mn | 709.41 Mn | 2.08% |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 2.08% |
| Mar 29, 2026 | 1.67% |
| Dec 28, 2025 | 1.58% |
| Sep 28, 2025 | 2.65% |
| Jun 29, 2025 | 4.42% |
| Mar 30, 2025 | 4.91% |
| Dec 29, 2024 | 5.69% |
| Sep 29, 2024 | 6.75% |
| Jun 30, 2024 | 8.38% |
| Mar 31, 2024 | 9.80% |
| Dec 31, 2023 | 11.86% |
| Sep 24, 2023 | 12.25% |
| Jun 25, 2023 | 12.69% |
| Mar 26, 2023 | 12.99% |
| Dec 25, 2022 | 13.36% |
| Sep 25, 2022 | 14.04% |
| Jun 26, 2022 | 12.50% |
| Mar 27, 2022 | 14.06% |
| Dec 26, 2021 | 13.60% |
| Sep 26, 2021 | 9.56% |
Bloomin' Brands Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=BLMN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=BLMN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();