Bab (BABB) Other Operating Expenses (2010 - 2026)
Bab's Other Operating Expenses was $423,294 in fiscal Q3 2026 (quarter ended Aug 31, 2026), up 39.6% from $303,319 a year earlier and up 27.0% from the prior quarter.
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Analysis
Bab (BABB) Other Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Bab's Other Operating Expenses was $1.74 million through Aug 31, 2026, up 16.3% year-over-year; for FY2025 (ended Nov 30, 2025), it was $1.65 million, down 9.3% from FY2024.
- Other Operating Expenses shows a five-year compound annual growth rate of 5.7% (FY2020 to FY2025).
- In earlier fiscal years, Other Operating Expenses was $1.81 million in FY2024 (-3.4%), $1.88 million in FY2023 (+10.2%), $1.71 million in FY2022 (+9.7%) and $1.55 million in FY2021 (+24.5%).
- Quarterly Other Operating Expenses has moved between $303,319 (fiscal Q3 2025) and $617,350 (fiscal Q4 2025) over five years.
- Compared with a year earlier, Other Operating Expenses was higher in three of the last seven quarters, with an average decline of 1.0%.
- The best year-over-year quarter for Other Operating Expenses over five years was fiscal Q3 2026 (growth of 39.6%); the worst was fiscal Q3 2025 (a decline of 28.7%).
- Per Business Quant data, BABB's Other Operating Expenses in the three fiscal quarters before Q3 2026 was $333,299 (Q2 2026), $366,334 (Q1 2026) and $617,350 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 198.08 Bn | 192.90 Bn | 6.42 Bn |
| 2 | Starbucks | 123.34 Bn | 110.96 Bn | - |
| 3 | Chipotle Mexican Grill | 45.28 Bn | 41.78 Bn | - |
| 4 | Yum Brands | 43.42 Bn | 40.31 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 26.75 Bn | 22.54 Bn | 1.40 Bn |
| 6 | Darden Restaurants | 25.71 Bn | 24.80 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn |
| 8 | Yum China Holdings | 17.17 Bn | 10.82 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 12.34 Bn | 11.68 Bn | - |
| 10 | Bab | 5.96 Mn | -2.93 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 44,803.00 |
| May 31, 2026 | 65,618.00 |
| Feb 28, 2026 | 43,573.00 |
| Nov 30, 2025 | 40,508.00 |
| Aug 31, 2025 | 45,036.00 |
| May 31, 2025 | 75,032.00 |
| Feb 28, 2025 | 39,658.00 |
| Nov 30, 2024 | 36,613.00 |
| Aug 31, 2024 | 36,495.00 |
| May 31, 2024 | 56,278.00 |
| Feb 29, 2024 | 74,946.00 |
| Aug 31, 2023 | 39,882.00 |
| May 31, 2023 | 70,909.00 |
| Feb 28, 2023 | 55,411.00 |
| Nov 30, 2022 | 56,916.00 |
| Aug 31, 2022 | 49,118.00 |
| May 31, 2022 | 67,783.00 |
| Feb 28, 2022 | 44,206.00 |
| Nov 30, 2021 | 49,392.00 |
| Aug 31, 2021 | 40,698.00 |
API Access
Bab Other 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=other-operating-expenses&ticker=BABB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=BABB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();