Arcadia Biosciences (RKDA) Accumulated Expenses (2014 - 2025)
Arcadia Biosciences' Accumulated Expenses came in at $45,000 for Q4 2020, down 92.8% from $629,000 a year earlier.
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Analysis
Arcadia Biosciences (RKDA) Accumulated Expenses (2014 - 2025) Analysis & Trends
Going back to Q4 2014, Arcadia Biosciences' Accumulated Expenses data covers 7 quarters.
- Accumulated Expenses carries a five-year compound annual growth rate of -32.6% (FY2015 to FY2020).
- Going back by year, Accumulated Expenses was $629,000 in FY2019 (+45.3%), $433,000 in FY2018 (-51.8%), $899,000 in FY2017 (+394.0%) and $182,000 in FY2016 (-43.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 416.85 Bn | 405.33 Bn | 8.45 Bn |
| 2 | Diageo | 246.91 Bn | 229.06 Bn | - |
| 3 | Coca Cola Femsa Sab De Cv | 201.88 Bn | 201.88 Bn | 37.08 Bn |
| 4 | Pepsico | 195.70 Bn | 153.66 Bn | 13.75 Bn |
| 5 | Anheuser-Busch InBev | 154.67 Bn | 154.67 Bn | 27,528.00 |
| 6 | Monster Beverage | 88.75 Bn | 85.98 Bn | 1.40 Bn |
| 7 | Coca-Cola Europacific Partners | 52.79 Bn | 46.01 Bn | - |
| 8 | Keurig Dr Pepper | 51.16 Bn | 50.63 Bn | 3.53 Bn |
| 9 | Ambev | 43.82 Bn | 28.73 Bn | 2.14 Bn |
| 10 | Arcadia Biosciences | 508,734.36 | -17.91 Mn | 631,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 16,000.00 |
| Dec 31, 2024 | 16,000.00 |
| Dec 31, 2023 | 16,000.00 |
| Dec 31, 2022 | 75,000.00 |
| Dec 31, 2021 | 16,000.00 |
| Dec 31, 2020 | 45,000.00 |
| Dec 31, 2019 | 629,000.00 |
| Dec 31, 2018 | 433,000.00 |
| Dec 31, 2017 | 899,000.00 |
| Dec 31, 2016 | 280,000.00 |
| Dec 31, 2015 | 332,000.00 |
| Dec 31, 2014 | 237,000.00 |
API Access
Arcadia Biosciences Accumulated 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=accumulated-expenses&ticker=RKDA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=RKDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();