Bab (BABB) Return on Capital Employed [ROCE] (2011 - 2026)
Bab's Return on Capital Employed [ROCE] came in at 18.74% for fiscal Q2 2026 (quarter ended May 31, 2026), up 1.14 percentage points from 17.60% a year earlier and up 1.16 percentage points from the prior quarter.
Bab (BABB) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025 (ended Nov 30, 2025), Bab's Return on Capital Employed [ROCE] was 17.08%, down 0.22 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a five-year change of +9.51 percentage points (FY2020 to FY2025).
- Going back by fiscal year, Return on Capital Employed [ROCE] was 17.30% in FY2024 (+0.45 pp), 16.85% in FY2023 (unchanged), 16.85% in FY2022 (-0.19 pp) and 17.04% in FY2021 (+9.47 pp).
- The fiscal Q2 2026 figure represents the highest quarterly Return on Capital Employed [ROCE] since fiscal Q3 2023.
- Year-over-year, Return on Capital Employed [ROCE] has increased for three consecutive quarters, with an average year-over-year change of -0.37 percentage points over the last seven quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in fiscal Q3 2021 (a gain of 12.77 percentage points), and the weakest in fiscal Q3 2024 (a drop of 4.00 percentage points).
- Business Quant data shows BABB's Return on Capital Employed [ROCE] at 17.58% (Q1 2026), 16.93% (Q4 2025) and 17.89% (Q3 2025) in the three fiscal 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 | Bab | 6.03 Mn | -2.48 Mn | - | 18.74% |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 18.74% |
| Feb 28, 2026 | 17.58% |
| Nov 30, 2025 | 16.93% |
| Aug 31, 2025 | 17.89% |
| May 31, 2025 | 17.60% |
| Feb 28, 2025 | 17.04% |
| Nov 30, 2024 | 16.28% |
| Aug 31, 2024 | 17.97% |
| May 31, 2024 | 17.50% |
| Feb 29, 2024 | 17.96% |
| Aug 31, 2023 | 21.97% |
| Nov 30, 2022 | 16.19% |
| Aug 31, 2022 | 16.07% |
| May 31, 2022 | 15.11% |
| Feb 28, 2022 | 14.81% |
| Nov 30, 2021 | 16.16% |
| Aug 31, 2021 | 18.31% |
| May 31, 2021 | 15.53% |
| Feb 28, 2021 | 9.69% |
| Nov 30, 2020 | 7.75% |
Bab 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=BABB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "BABB", "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=BABB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();