Jones Soda (JSDA) Total Non-Current Liabilities (2010 - 2021)
Jones Soda (JSDA) posted Total Non-Current Liabilities of $6.53 million for Q4 2021, up 47.1% from $4.44 million a year earlier and up 27.7% from the prior quarter.
Jones Soda (JSDA) Total Non-Current Liabilities (2010 - 2021) Analysis & Trends
Since Q4 2010, Jones Soda has reported Total Non-Current Liabilities for 44 quarters.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 16.0% (FY2016 to FY2021).
- In prior years, Jones Soda's Total Non-Current Liabilities was $4.44 million in FY2020 (+72.3%), $2.58 million in FY2019 (-44.4%), $4.64 million in FY2018 (+90.5%) and $2.43 million in FY2017 (-21.9%).
- The Q4 2021 figure stands as the highest quarterly Total Non-Current Liabilities in data going back to Q4 2010.
- On a year-over-year basis, Total Non-Current Liabilities increased in four of the last eight quarters, with growth averaging 12.0%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q4 2018, with growth of 90.5%; the weakest was Q4 2019, with a decline of 44.4%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $5.12 million (Q3 2021), $3.91 million (Q2 2021) and $3.7 million (Q1 2021).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 368.60 Bn | 357.24 Bn | 8.42 Bn | 64.98 Bn |
| 2 | Diageo | 206.17 Bn | 198.57 Bn | - | -23.16 Bn |
| 3 | Coca Cola Femsa Sab De Cv | 179.07 Bn | 179.07 Bn | 2.06 Bn | - |
| 4 | Pepsico | 171.83 Bn | 132.26 Bn | 13.11 Bn | 81.77 Bn |
| 5 | Anheuser-Busch InBev | 131.95 Bn | 100.69 Bn | 9.58 Bn | 391.00 Mn |
| 6 | Monster Beverage | 84.12 Bn | 72.37 Bn | 1.42 Bn | 1.87 Bn |
| 7 | Ambev | 46.97 Bn | 32.99 Bn | 2.06 Bn | 1.92 Bn |
| 8 | Coca-Cola Europacific Partners | 45.38 Bn | 38.63 Bn | - | 16.28 Bn |
| 9 | Keurig Dr Pepper | 41.33 Bn | 41.57 Bn | 3.07 Bn | 384.00 Mn |
| 10 | Jones Soda | 28.37 Mn | 28.37 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | 6.53 Mn |
| Sep 30, 2021 | 5.12 Mn |
| Jun 30, 2021 | 3.91 Mn |
| Mar 31, 2021 | 3.70 Mn |
| Dec 31, 2020 | 4.44 Mn |
| Sep 30, 2020 | 3.92 Mn |
| Jun 30, 2020 | 3.94 Mn |
| Mar 31, 2020 | 3.77 Mn |
| Dec 31, 2019 | 2.58 Mn |
| Sep 30, 2019 | 3.33 Mn |
| Jun 30, 2019 | 6.14 Mn |
| Mar 31, 2019 | 5.64 Mn |
| Dec 31, 2018 | 4.64 Mn |
| Sep 30, 2018 | 4.64 Mn |
| Jun 30, 2018 | 4.59 Mn |
| Mar 31, 2018 | 5.32 Mn |
| Dec 31, 2017 | 2.43 Mn |
| Sep 30, 2017 | 3.48 Mn |
| Jun 30, 2017 | 3.97 Mn |
| Mar 31, 2017 | 3.20 Mn |
Jones Soda Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=JSDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "JSDA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=JSDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();