Ingles Markets (IMKTA) Cash & Equivalents (2010 - 2021)
Ingles Markets' Cash & Equivalents came in at $24.47 million for fiscal Q3 2021 (quarter ended Jun 26, 2021), down 83.9% from $152.12 million a year earlier but up 176.3% from the prior quarter.
Ingles Markets (IMKTA) Cash & Equivalents (2010 - 2021) Analysis & Trends
At the end of FY2020 (ended Sep 26, 2020), Ingles Markets' Cash & Equivalents was $6.9 million, down 83.6% from FY2019.
- Cash & Equivalents carries a five-year compound annual growth rate of -1.7% (FY2015 to FY2020).
- Going back by fiscal year, Cash & Equivalents was $42.13 million in FY2019 (+299.8%), $10.54 million in FY2018 (-55.9%), $23.91 million in FY2017 (+321.0%) and $5.68 million in FY2016 (-24.3%).
- The five-year range for quarterly Cash & Equivalents is $5.68 million (fiscal Q4 2016) to $152.12 million (fiscal Q3 2020).
- Year-over-year, Cash & Equivalents has declined for four consecutive quarters, with growth averaging 191.8% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q2 2020 (growth of 769.1%), and the weakest in fiscal Q2 2021 (a decline of 93.9%).
- Business Quant data shows IMKTA's Cash & Equivalents at $8.86 million (Q2 2021), $10.01 million (Q1 2021) and $6.9 million (Q4 2020) in the three fiscal quarters before Q3 2021.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 11.53 Bn |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn | 18.95 Bn |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn | 1.79 Bn |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn | 1.68 Bn |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn | 1.59 Bn |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn | 524.06 Mn |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn | 1.06 Bn |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn | 56.00 Mn |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn | 231.59 Mn |
| 10 | Ingles Markets | 1.65 Bn | 1.65 Bn | 332.44 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 26, 2021 | 24.47 Mn |
| Mar 27, 2021 | 8.86 Mn |
| Dec 26, 2020 | 10.01 Mn |
| Sep 26, 2020 | 6.90 Mn |
| Jun 27, 2020 | 152.12 Mn |
| Mar 28, 2020 | 144.97 Mn |
| Dec 28, 2019 | 23.03 Mn |
| Sep 28, 2019 | 42.13 Mn |
| Jun 29, 2019 | 18.55 Mn |
| Mar 30, 2019 | 16.68 Mn |
| Dec 29, 2018 | 14.10 Mn |
| Sep 29, 2018 | 10.54 Mn |
| Jun 30, 2018 | 11.64 Mn |
| Mar 31, 2018 | 6.93 Mn |
| Dec 30, 2017 | 13.76 Mn |
| Sep 30, 2017 | 23.91 Mn |
| Jun 24, 2017 | 8.02 Mn |
| Mar 25, 2017 | 6.10 Mn |
| Dec 24, 2016 | 15.16 Mn |
| Sep 24, 2016 | 5.68 Mn |
Ingles Markets 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=IMKTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "IMKTA", "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=IMKTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();