Bab (BABB) Operating Expenses (2010 - 2026)
Bab (BABB) recorded Operating Expenses of $556,262 in fiscal Q2 2026 (quarter ended May 31, 2026), down 8.5% from $607,728 a year earlier and down 2.6% from the prior quarter.
Powered by 
Analysis
Bab (BABB) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Bab's Operating Expenses came in at $2.63 million as of May 31, 2026, down 2.2% year-over-year; for FY2025 (ended Nov 30, 2025), it was $2.72 million, down 5.6% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 4.9% (FY2020 to FY2025).
- Across earlier fiscal years, Operating Expenses came in at $2.88 million in FY2024 (-0.5%), $2.9 million in FY2023 (+8.1%), $2.68 million in FY2022 (+5.9%) and $2.53 million in FY2021 (+18.3%).
- Quarterly Operating Expenses has ranged from $549,701 in fiscal Q3 2025 to $950,315 in fiscal Q4 2025 over the past five years.
- On a year-over-year basis, Operating Expenses rose in 1 of the last seven quarters, with an average decline of 6.9%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 30.8% in fiscal Q4 2021, against a decline of 17.6% in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $570,918 (Q1 2026), $950,315 (Q4 2025) and $549,701 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.31 Bn | 160.13 Bn | 6.42 Bn | 3.76 Bn |
| 2 | Starbucks | 108.61 Bn | 96.24 Bn | - | 8.42 Bn |
| 3 | Chipotle Mexican Grill | 40.32 Bn | 36.30 Bn | - | 2.82 Bn |
| 4 | Yum Brands | 37.73 Bn | 34.61 Bn | 1.47 Bn | 1.51 Bn |
| 5 | Restaurant Brands International | 24.95 Bn | 22.05 Bn | 1.38 Bn | 1.80 Bn |
| 6 | Darden Restaurants | 22.46 Bn | 21.57 Bn | -113.70 Mn | 3.20 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.80 Bn |
| 8 | Yum China Holdings | 14.17 Bn | 8.53 Bn | 537.00 Mn | 2.79 Bn |
| 9 | Texas Roadhouse | 10.39 Bn | 9.75 Bn | - | 1.54 Bn |
| 10 | Bab | 6.17 Mn | -2.34 Mn | - | 556,262.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| 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 |
| May 31, 2021 | 626,651.00 |
| Feb 28, 2021 | 585,938.00 |
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();