Arcadia Biosciences (RKDA) Selling, General & Administrative (2014 - 2026)
Arcadia Biosciences (RKDA) posted Selling, General & Administrative of $1.13 million for Q2 2026, down 46.9% from $2.12 million a year earlier.
Arcadia Biosciences (RKDA) Selling, General & Administrative (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at Arcadia Biosciences was $6.39 million, down 27.1% year-over-year; for FY2025, it was $7 million, down 27.4% from FY2024.
- Annual Selling, General & Administrative shows a five-year compound annual growth rate of -15.7% (FY2020 to FY2025).
- In prior years, Arcadia Biosciences' Selling, General & Administrative was $9.64 million in FY2024 (+17.1%), $8.23 million in FY2023 (-45.2%), $15.04 million in FY2022 (-34.4%) and $22.94 million in FY2021 (+39.3%).
- The Q2 2026 figure stands as the lowest quarterly Selling, General & Administrative in data going back to Q1 2014.
- On a year-over-year basis, Selling, General & Administrative increased in two of the last seven quarters, with an average decline of 11.1%.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q4 2024, with growth of 56.3%; the weakest was Q3 2023, with a decline of 55.4%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 368.60 Bn | 357.24 Bn | 8.42 Bn | 3.72 Bn |
| 2 | Diageo | 206.17 Bn | 198.57 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 | 9.09 Bn |
| 5 | Anheuser-Busch InBev | 131.95 Bn | 100.69 Bn | 9.58 Bn | 2.35 Bn |
| 6 | Monster Beverage | 84.12 Bn | 72.37 Bn | 1.42 Bn | - |
| 7 | Ambev | 46.97 Bn | 32.99 Bn | 2.06 Bn | -263.15 Mn |
| 8 | Coca-Cola Europacific Partners | 45.38 Bn | 38.63 Bn | - | -1.63 Bn |
| 9 | Keurig Dr Pepper | 41.33 Bn | 41.57 Bn | 3.07 Bn | 2.40 Bn |
| 10 | Arcadia Biosciences | 867,840.93 | -18.25 Mn | 631,000.00 | 1.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.13 Mn |
| Dec 31, 2025 | 1.57 Mn |
| Sep 30, 2025 | 1.57 Mn |
| Jun 30, 2025 | 2.12 Mn |
| Mar 31, 2025 | 1.74 Mn |
| Dec 31, 2024 | 2.66 Mn |
| Sep 30, 2024 | 2.24 Mn |
| Jun 30, 2024 | 2.68 Mn |
| Mar 31, 2024 | 2.06 Mn |
| Dec 31, 2023 | 1.70 Mn |
| Sep 30, 2023 | 1.86 Mn |
| Jun 30, 2023 | 2.07 Mn |
| Mar 31, 2023 | 4.07 Mn |
| Dec 31, 2022 | 3.63 Mn |
| Sep 30, 2022 | 4.18 Mn |
| Jun 30, 2022 | 4.65 Mn |
| Mar 31, 2022 | 4.35 Mn |
| Dec 31, 2021 | 6.21 Mn |
| Sep 30, 2021 | 6.31 Mn |
| Jun 30, 2021 | 6.37 Mn |
Arcadia Biosciences Selling, General & Administrative 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=selling-general-and-administrative&ticker=RKDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=RKDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();