Arcadia Biosciences (RKDA) Non Operating Interest Expenses (2014 - 2022)
Arcadia Biosciences' Non Operating Interest Expenses came in at $1,000 for Q1 2022, down 88.9% from $9,000 a year earlier.
Arcadia Biosciences (RKDA) Non Operating Interest Expenses (2014 - 2022) Analysis & Trends
Over the trailing twelve months to Mar 31, 2022, Arcadia Biosciences reported Non Operating Interest Expenses of $14,000, down 73.6% year-over-year; for FY2021, it came in at $20,000, down 57.4% from FY2020.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of -56.7% (FY2016 to FY2021).
- Going back by year, Non Operating Interest Expenses was $47,000 in FY2020 (+840.0%), $5,000 in FY2019 and $747,000 in FY2017 (-43.4%).
- The five-year range for quarterly Non Operating Interest Expenses is -$3,000 (Q4 2021) to $365,000 (Q2 2017).
- Year-over-year, Non Operating Interest Expenses increased in three of the last six quarters, with growth averaging 218.3%.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q3 2020 (growth of 666.7%), and the weakest in Q1 2022 (a decline of 88.9%).
- Business Quant data shows RKDA's Non Operating Interest Expenses at -$3,000 (Q4 2021), $15,000 (Q3 2021) and $1,000 (Q2 2021) in the three quarters before Q1 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 370.32 Bn | 358.96 Bn | 8.42 Bn | 369.00 Mn |
| 2 | Diageo | 208.31 Bn | 200.71 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 181.53 Bn | 181.53 Bn | 2.06 Bn | 130.59 Mn |
| 4 | Pepsico | 172.96 Bn | 133.40 Bn | 13.11 Bn | 230.00 Mn |
| 5 | Anheuser-Busch InBev | 132.06 Bn | 100.80 Bn | 9.58 Bn | - |
| 6 | Monster Beverage | 81.53 Bn | 69.78 Bn | 1.42 Bn | - |
| 7 | Ambev | 46.02 Bn | 32.04 Bn | 2.06 Bn | -180.13 Mn |
| 8 | Coca-Cola Europacific Partners | 45.68 Bn | 38.92 Bn | - | -356.20 Mn |
| 9 | Keurig Dr Pepper | 41.29 Bn | 41.52 Bn | 3.07 Bn | - |
| 10 | Arcadia Biosciences | 837,915.40 | -18.28 Mn | 631,000.00 | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2022 | 1,000.00 |
| Dec 31, 2021 | -3,000.00 |
| Sep 30, 2021 | 15,000.00 |
| Jun 30, 2021 | 1,000.00 |
| Mar 31, 2021 | 9,000.00 |
| Dec 31, 2020 | 15,000.00 |
| Sep 30, 2020 | 23,000.00 |
| Jun 30, 2020 | 6,000.00 |
| Mar 31, 2020 | 3,000.00 |
| Dec 31, 2019 | 2,000.00 |
| Sep 30, 2019 | 3,000.00 |
| Sep 30, 2017 | 43,000.00 |
| Jun 30, 2017 | 365,000.00 |
| Mar 31, 2017 | 339,000.00 |
| Dec 31, 2016 | 334,000.00 |
| Sep 30, 2016 | 331,000.00 |
| Jun 30, 2016 | 327,000.00 |
| Mar 31, 2016 | 327,000.00 |
| Dec 31, 2015 | 650,000.00 |
| Sep 30, 2015 | 766,000.00 |
Arcadia Biosciences Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=RKDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "RKDA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=RKDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();