Bab (BABB) EBITDA (2010 - 2026)
Bab (BABB) recorded EBITDA of $259,897 in fiscal Q2 2026 (quarter ended May 31, 2026), up 28.8% from $201,739 a year earlier and up 68.6% from the prior quarter.
Bab (BABB) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Bab's EBITDA came in at $790,227 as of May 31, 2026, up 11.5% year-over-year; for FY2025 (ended Nov 30, 2025), it was $726,113, up 8.5% from FY2024.
- Annual EBITDA has increased for five straight fiscal years, with a five-year compound annual growth rate of 25.1% (FY2020 to FY2025).
- Across earlier fiscal years, EBITDA came in at $669,417 in FY2024 (+8.2%), $618,580 in FY2023 (+1.0%), $612,207 in FY2022 (+12.0%) and $546,840 in FY2021 (+130.8%).
- The fiscal Q2 2026 figure is the highest quarterly EBITDA since fiscal Q2 2014.
- On a year-over-year basis, EBITDA has increased for six consecutive quarters, with growth averaging 9.1% over the last seven quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 88.3% in fiscal Q3 2021, against a decline of 40.6% in fiscal Q4 2021 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $154,115 (Q1 2026), $156,302 (Q4 2025) and $219,913 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.31 Bn | 160.13 Bn | 6.42 Bn | 3.90 Bn |
| 2 | Starbucks | 108.61 Bn | 96.24 Bn | - | 1.37 Bn |
| 3 | Chipotle Mexican Grill | 40.32 Bn | 36.30 Bn | - | 623.92 Mn |
| 4 | Yum Brands | 37.73 Bn | 34.61 Bn | 1.47 Bn | 715.00 Mn |
| 5 | Restaurant Brands International | 24.95 Bn | 22.05 Bn | 1.38 Bn | 793.00 Mn |
| 6 | Darden Restaurants | 22.46 Bn | 21.57 Bn | -113.70 Mn | 663.10 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 793.00 Mn |
| 8 | Yum China Holdings | 14.17 Bn | 8.53 Bn | 537.00 Mn | 468.00 Mn |
| 9 | Texas Roadhouse | 10.39 Bn | 9.75 Bn | - | 201.13 Mn |
| 10 | Bab | 6.17 Mn | -2.34 Mn | - | 259,897.00 |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 259,897.00 |
| Feb 28, 2026 | 154,115.00 |
| Nov 30, 2025 | 156,302.00 |
| Aug 31, 2025 | 219,913.00 |
| May 31, 2025 | 201,739.00 |
| Feb 28, 2025 | 148,159.00 |
| Nov 30, 2024 | 153,121.00 |
| Aug 31, 2024 | 205,905.00 |
| May 31, 2024 | 187,431.00 |
| Feb 29, 2024 | 122,960.00 |
| Aug 31, 2023 | 219,785.00 |
| May 31, 2023 | 172,012.00 |
| Nov 30, 2022 | 159,224.00 |
| Aug 31, 2022 | 229,871.00 |
| May 31, 2022 | 133,233.00 |
| Feb 28, 2022 | 89,878.00 |
| Nov 30, 2021 | 85,815.00 |
| Aug 31, 2021 | 199,557.00 |
| May 31, 2021 | 123,288.00 |
| Feb 28, 2021 | 138,180.00 |
Bab EBITDA 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=ebitda&ticker=BABB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=BABB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();