Cracker Barrel Old Country Store (CBRL) Other Non-Current Assets (2010 - 2026)
Analysis
Cracker Barrel Old Country Store (CBRL) Other Non-Current Assets (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 199.73 Bn | 194.55 Bn | 6.42 Bn | 19.03 Bn |
| 2 | Starbucks | 124.84 Bn | 112.47 Bn | - | 857.20 Mn |
| 3 | Chipotle Mexican Grill | 45.68 Bn | 42.18 Bn | - | 171.77 Mn |
| 4 | Yum Brands | 44.27 Bn | 41.15 Bn | 1.47 Bn | 2.38 Bn |
| 5 | Restaurant Brands International | 27.05 Bn | 22.84 Bn | 1.40 Bn | 1.66 Bn |
| 6 | Darden Restaurants | 26.14 Bn | 25.23 Bn | 1.68 Bn | 432.90 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 1.66 Bn |
| 8 | Yum China Holdings | 17.37 Bn | 11.02 Bn | 537.00 Mn | 374.00 Mn |
| 9 | Texas Roadhouse | 12.53 Bn | 11.87 Bn | - | 179.97 Mn |
| 10 | Cracker Barrel Old Country Store | 1.49 Bn | 1.41 Bn | 605.13 Mn | 57.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 57.57 Mn |
| May 1, 2026 | 52.57 Mn |
| Jan 30, 2026 | 53.33 Mn |
| Oct 31, 2025 | 53.39 Mn |
| Aug 1, 2025 | 51.36 Mn |
| May 2, 2025 | 44.57 Mn |
| Jan 31, 2025 | 45.98 Mn |
| Nov 1, 2024 | 45.49 Mn |
| Aug 2, 2024 | 48.20 Mn |
| Apr 26, 2024 | 47.87 Mn |
| Jan 26, 2024 | 44.82 Mn |
| Oct 27, 2023 | 42.92 Mn |
| Jul 28, 2023 | 46.44 Mn |
| Apr 28, 2023 | 46.66 Mn |
| Jan 27, 2023 | 46.41 Mn |
| Oct 28, 2022 | 45.41 Mn |
| Jul 29, 2022 | 48.60 Mn |
| Apr 29, 2022 | 53.38 Mn |
| Jan 28, 2022 | 56.24 Mn |
| Oct 29, 2021 | 55.59 Mn |
API Access
Cracker Barrel Old Country Store Other Non-Current Assets 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-non-current-assets&ticker=CBRL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "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=other-non-current-assets&ticker=CBRL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();