Bab (BABB) Operating Margin (2010 - 2026)
Bab (BABB) recorded Operating Margin of 33.19% in fiscal Q3 2026 (quarter ended Aug 31, 2026), up 4.71 percentage points from 28.47% a year earlier and up 2.40 percentage points from the prior quarter.
Bab (BABB) Operating Margin (2010 - 2026) Analysis & Trends
On a TTM basis, Bab's Operating Margin came in at 24.19% as of Aug 31, 2026, up 2.33 percentage points year-over-year; for FY2025 (ended Nov 30, 2025), it was 20.98%, up 2.21 percentage points from FY2024.
- Annual Operating Margin has a five-year change of +11.14 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, Operating Margin came in at 18.77% in FY2024 (+1.25 pp), 17.52% in FY2023 (-0.97 pp), 18.49% in FY2022 (+0.86 pp) and 17.63% in FY2021 (+7.79 pp).
- The fiscal Q3 2026 figure is the highest quarterly Operating Margin since fiscal Q2 2014.
- On a year-over-year basis, Operating Margin has increased for three consecutive quarters, with an average year-over-year change of +3.42 percentage points over the last seven quarters.
- Peak year-over-year performance for Operating Margin in the last five years was a gain of 8.40 percentage points in fiscal Q4 2022, against a drop of 10.10 percentage points in fiscal Q4 2021 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 30.79% (Q2 2026), 21.11% (Q1 2026) and 14.01% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.08 Bn | 192.90 Bn | 6.42 Bn | 47.02% |
| 2 | Starbucks | 123.34 Bn | 110.96 Bn | - | 10.52% |
| 3 | Chipotle Mexican Grill | 45.28 Bn | 41.78 Bn | - | 13.72% |
| 4 | Yum Brands | 43.42 Bn | 40.31 Bn | 1.47 Bn | 30.20% |
| 5 | Restaurant Brands International | 26.75 Bn | 22.54 Bn | 1.40 Bn | 27.56% |
| 6 | Darden Restaurants | 25.71 Bn | 24.80 Bn | 1.68 Bn | 9.98% |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 27.56% |
| 8 | Yum China Holdings | 17.17 Bn | 10.82 Bn | 537.00 Mn | 11.09% |
| 9 | Texas Roadhouse | 12.34 Bn | 11.68 Bn | - | 8.50% |
| 10 | Bab | 5.96 Mn | -2.93 Mn | - | 33.19% |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 33.19% |
| May 31, 2026 | 30.79% |
| Feb 28, 2026 | 21.11% |
| Nov 30, 2025 | 14.01% |
| Aug 31, 2025 | 28.47% |
| May 31, 2025 | 24.83% |
| Feb 28, 2025 | 19.44% |
| Nov 30, 2024 | 15.92% |
| Aug 31, 2024 | 23.50% |
| May 31, 2024 | 21.12% |
| Feb 29, 2024 | 14.59% |
| Aug 31, 2023 | 23.36% |
| May 31, 2023 | 19.79% |
| Feb 28, 2023 | 6.63% |
| Nov 30, 2022 | 18.80% |
| Aug 31, 2022 | 25.95% |
| May 31, 2022 | 16.00% |
| Feb 28, 2022 | 12.00% |
| Nov 30, 2021 | 10.40% |
| Aug 31, 2021 | 25.13% |
Bab Operating Margin 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=operating-margin&ticker=BABB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=BABB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();