Bridgford Foods (BRID) Land & Improvements (2016 - 2020)
Bridgford Foods (BRID) posted Land & Improvements of $3.91 million for fiscal Q4 2020 (quarter ended Oct 30, 2020), unchanged from $3.91 million a year earlier.
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Analysis
Bridgford Foods (BRID) Land & Improvements (2016 - 2020) Analysis & Trends
Since fiscal Q4 2016, Bridgford Foods has reported Land & Improvements for 5 quarters.
- Annual Land & Improvements shows a four-year compound annual growth rate of 21.4% (FY2016 to FY2020).
- In prior fiscal years, Bridgford Foods' Land & Improvements was $3.91 million in FY2019 (unchanged), $3.91 million in FY2018 (+1.4%), $3.85 million in FY2017 (+113.8%) and $1.8 million in FY2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 140.61 Bn | 92.06 Bn | - | - |
| 2 | Mondelez International | 80.56 Bn | 73.83 Bn | 3.99 Bn | - |
| 3 | Hershey | 33.97 Bn | 30.22 Bn | 1.26 Bn | 195.99 Mn |
| 4 | Kraft Heinz | 27.90 Bn | 14.32 Bn | 2.03 Bn | - |
| 5 | General Mills | 17.49 Bn | 15.13 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 13.63 Bn | 13.41 Bn | 979.60 Mn | 158.50 Mn |
| 7 | Mccormick | 12.49 Bn | 11.55 Bn | 794.90 Mn | - |
| 8 | Hormel Foods | 11.23 Bn | 7.90 Bn | 471.52 Mn | 75.32 Mn |
| 9 | Chewy | 8.65 Bn | 5.94 Bn | 1.01 Bn | - |
| 10 | Bridgford Foods | 50.83 Mn | 43.98 Mn | 10.86 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 30, 2020 | 3.91 Mn |
| Nov 1, 2019 | 3.91 Mn |
| Nov 2, 2018 | 3.91 Mn |
| Nov 3, 2017 | 3.85 Mn |
| Oct 28, 2016 | 1.80 Mn |
API Access
Bridgford Foods Land & Improvements 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=land-and-improvements&ticker=BRID&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "BRID", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=land-and-improvements&ticker=BRID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();