Cracker Barrel Old Country Store (CBRL) Cash & Equivalents (2009 - 2026)
Cracker Barrel Old Country Store (CBRL) reported Cash & Equivalents of $36.54 million for fiscal Q4 2026 (quarter ended Jul 31, 2026), down 7.8% from $39.64 million a year earlier but up 40.2% from the prior quarter.
Cracker Barrel Old Country Store (CBRL) Cash & Equivalents (2009 - 2026) Analysis & Trends
Dating back to fiscal Q1 2010, Cracker Barrel Old Country Store's Cash & Equivalents record includes 68 quarters.
- Cash & Equivalents has a five-year compound annual growth rate of -24.1% (FY2021 to FY2026).
- By fiscal year, Cash & Equivalents came in at $39.64 million in FY2025 (+229.4%), $12.04 million in FY2024 (-52.1%), $25.15 million in FY2023 (-44.2%) and $45.11 million in FY2022 (-68.8%).
- Five-year quarterly Cash & Equivalents spans a low of $8.57 million in fiscal Q2 2026 and a high of $125.87 million in fiscal Q1 2022.
- Year over year, Cash & Equivalents gained in two of the last eight quarters, with growth averaging 36.9%.
- The high point for year-over-year Cash & Equivalents in five years was fiscal Q4 2025 (growth of 229.4%); the low point was fiscal Q3 2022 (a decline of 93.6%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $26.05 million (Q3 2026), $8.57 million (Q2 2026) and $8.94 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.07 Bn | 158.89 Bn | 6.42 Bn | 822.00 Mn |
| 2 | Starbucks | 108.16 Bn | 95.79 Bn | - | 3.45 Bn |
| 3 | Chipotle Mexican Grill | 40.91 Bn | 36.89 Bn | - | 228.20 Mn |
| 4 | Yum Brands | 37.32 Bn | 34.20 Bn | 1.47 Bn | 674.00 Mn |
| 5 | Restaurant Brands International | 24.36 Bn | 21.46 Bn | 1.38 Bn | 1.06 Bn |
| 6 | Darden Restaurants | 22.52 Bn | 21.62 Bn | -113.70 Mn | 219.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.06 Bn |
| 8 | Yum China Holdings | 14.14 Bn | 8.50 Bn | 537.00 Mn | 485.00 Mn |
| 9 | Texas Roadhouse | 10.28 Bn | 9.64 Bn | - | 202.43 Mn |
| 10 | Cracker Barrel Old Country Store | 1.16 Bn | 1.08 Bn | 605.13 Mn | 36.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 36.54 Mn |
| May 1, 2026 | 26.05 Mn |
| Jan 30, 2026 | 8.57 Mn |
| Oct 31, 2025 | 8.94 Mn |
| Aug 1, 2025 | 39.64 Mn |
| May 2, 2025 | 9.81 Mn |
| Jan 31, 2025 | 10.35 Mn |
| Nov 1, 2024 | 11.53 Mn |
| Aug 2, 2024 | 12.04 Mn |
| Apr 26, 2024 | 11.85 Mn |
| Jan 26, 2024 | 12.60 Mn |
| Oct 27, 2023 | 13.91 Mn |
| Jul 28, 2023 | 25.15 Mn |
| Apr 28, 2023 | 22.45 Mn |
| Jan 27, 2023 | 49.40 Mn |
| Oct 28, 2022 | 38.71 Mn |
| Jul 29, 2022 | 45.11 Mn |
| Apr 29, 2022 | 24.77 Mn |
| Jan 28, 2022 | 79.71 Mn |
| Oct 29, 2021 | 125.87 Mn |
Cracker Barrel Old Country Store Cash & Equivalents 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=cash-and-equivalents&ticker=CBRL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "CBRL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=CBRL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();