Arcadia Biosciences (RKDA) Total Non-Current Liabilities (2014 - 2025)
Arcadia Biosciences' Total Non-Current Liabilities came in at $2.41 million for Q4 2025, down 54.6% from $5.29 million a year earlier and down 23.4% from the prior quarter.
Arcadia Biosciences (RKDA) Total Non-Current Liabilities (2014 - 2025) Analysis & Trends
Going back to Q4 2014, Arcadia Biosciences' Total Non-Current Liabilities data covers 45 quarters.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -32.0% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $5.29 million in FY2024 (+5.8%), $5 million in FY2023 (-16.9%), $6.02 million in FY2022 (-43.5%) and $10.65 million in FY2021 (-35.5%).
- The Q4 2025 figure represents the lowest quarterly Total Non-Current Liabilities in data going back to Q4 2014.
- Year-over-year, Total Non-Current Liabilities increased in two of the last eight quarters, with an average decline of 30.0%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q1 2023 (growth of 79.8%), and the weakest in Q2 2022 (a decline of 76.0%).
- Business Quant data shows RKDA's Total Non-Current Liabilities at $3.14 million (Q3 2025), $3.26 million (Q2 2025) and $3.09 million (Q1 2025) in the three quarters before Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 373.72 Bn | 362.36 Bn | 8.42 Bn | 64.98 Bn |
| 2 | Diageo | 207.56 Bn | 199.96 Bn | - | -23.16 Bn |
| 3 | Coca Cola Femsa Sab De Cv | 182.40 Bn | 182.40 Bn | 2.06 Bn | - |
| 4 | Pepsico | 175.65 Bn | 136.08 Bn | 13.11 Bn | 81.77 Bn |
| 5 | Anheuser-Busch InBev | 133.55 Bn | 102.29 Bn | 9.58 Bn | 391.00 Mn |
| 6 | Monster Beverage | 81.77 Bn | 70.02 Bn | 1.42 Bn | 1.87 Bn |
| 7 | Coca-Cola Europacific Partners | 45.94 Bn | 39.18 Bn | - | 16.28 Bn |
| 8 | Ambev | 45.55 Bn | 31.57 Bn | 2.06 Bn | 1.92 Bn |
| 9 | Keurig Dr Pepper | 42.22 Bn | 42.46 Bn | 3.07 Bn | 384.00 Mn |
| 10 | Arcadia Biosciences | 837,915.40 | -18.28 Mn | 631,000.00 | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 2.41 Mn |
| Sep 30, 2025 | 3.14 Mn |
| Jun 30, 2025 | 3.26 Mn |
| Mar 31, 2025 | 3.09 Mn |
| Dec 31, 2024 | 5.29 Mn |
| Sep 30, 2024 | 3.09 Mn |
| Jun 30, 2024 | 3.80 Mn |
| Mar 31, 2024 | 3.56 Mn |
| Dec 31, 2023 | 5.00 Mn |
| Sep 30, 2023 | 6.07 Mn |
| Jun 30, 2023 | 7.07 Mn |
| Mar 31, 2023 | 11.72 Mn |
| Dec 31, 2022 | 6.02 Mn |
| Sep 30, 2022 | 7.46 Mn |
| Jun 30, 2022 | 6.24 Mn |
| Mar 31, 2022 | 6.52 Mn |
| Dec 31, 2021 | 10.65 Mn |
| Sep 30, 2021 | 16.87 Mn |
| Jun 30, 2021 | 25.98 Mn |
| Mar 31, 2021 | 22.96 Mn |
Arcadia Biosciences 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=RKDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=RKDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();