Bab (BABB) Operating Expenses (2010 - 2026)
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Analysis
Bab (BABB) Operating Expenses (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.08 Bn | 192.90 Bn | 6.42 Bn | 3.76 Bn |
| 2 | Starbucks | 123.34 Bn | 110.96 Bn | - | 8.42 Bn |
| 3 | Chipotle Mexican Grill | 45.28 Bn | 41.78 Bn | - | 2.84 Bn |
| 4 | Yum Brands | 43.42 Bn | 40.31 Bn | 1.47 Bn | 1.51 Bn |
| 5 | Restaurant Brands International | 26.75 Bn | 22.54 Bn | 1.40 Bn | 1.83 Bn |
| 6 | Darden Restaurants | 25.71 Bn | 24.80 Bn | 1.68 Bn | 2.88 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 1.83 Bn |
| 8 | Yum China Holdings | 17.17 Bn | 10.82 Bn | 537.00 Mn | 2.79 Bn |
| 9 | Texas Roadhouse | 12.34 Bn | 11.68 Bn | - | 1.54 Bn |
| 10 | Bab | 5.96 Mn | -2.93 Mn | - | 606,583.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 606,583.00 |
| May 31, 2026 | 556,262.00 |
| Feb 28, 2026 | 570,918.00 |
| Nov 30, 2025 | 950,315.00 |
| Aug 31, 2025 | 549,701.00 |
| May 31, 2025 | 607,728.00 |
| Feb 28, 2025 | 610,022.00 |
| Nov 30, 2024 | 802,495.00 |
| Aug 31, 2024 | 667,011.00 |
| May 31, 2024 | 696,388.00 |
| Feb 29, 2024 | 713,954.00 |
| Aug 31, 2023 | 717,847.00 |
| May 31, 2023 | 693,310.00 |
| Feb 28, 2023 | 696,194.00 |
| Nov 30, 2022 | 683,757.00 |
| Aug 31, 2022 | 653,341.00 |
| May 31, 2022 | 692,483.00 |
| Feb 28, 2022 | 649,708.00 |
| Nov 30, 2021 | 727,256.00 |
| Aug 31, 2021 | 590,569.00 |
API Access
Bab 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=operating-expenses&ticker=BABB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=BABB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();