Local Bounti Corporation (LOCL) Research & Development (2021 - 2026)
Local Bounti Corporation's Research & Development was $4.58 million in Q2 2026, down 29.4% from $6.49 million a year earlier and down 19.9% from the prior quarter.
Local Bounti Corporation (LOCL) Research & Development (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Local Bounti Corporation's Research & Development was $22.41 million through Jun 30, 2026, down 19.2% year-over-year; for FY2025, it came in at $25.58 million, up 14.8% from FY2024.
- Research & Development has now increased for five consecutive years, with a five-year compound annual growth rate of 88.3% (FY2020 to FY2025).
- In earlier years, Research & Development was $22.29 million in FY2024 (+38.5%), $16.09 million in FY2023 (+14.4%), $14.06 million in FY2022 (+310.5%) and $3.43 million in FY2021 (+217.4%).
- The Q2 2026 figure marks the lowest quarterly Research & Development since Q2 2024.
- Compared with a year earlier, Research & Development has declined for four straight quarters, with growth averaging 23.5% over the last eight quarters.
- The best year-over-year quarter for Research & Development over five years was Q4 2022 (growth of 501.6%); the worst was Q2 2026 (a decline of 29.4%).
- Per Business Quant data, LOCL's Research & Development in the three quarters before Q2 2026 was $5.72 million (Q1 2026), $5.44 million (Q4 2025) and $6.68 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.74 Bn | 35.03 Bn | 1.94 Bn | - |
| 2 | Bunge Global | 20.95 Bn | 18.46 Bn | 1.68 Bn | - |
| 3 | Tyson Foods | 17.92 Bn | 14.28 Bn | 921.00 Mn | - |
| 4 | Jbs | 12.87 Bn | -20.24 Bn | 2.59 Bn | - |
| 5 | Darling Ingredients | 9.56 Bn | 9.16 Bn | 503.37 Mn | - |
| 6 | Smithfield Foods | 7.54 Bn | 2.49 Bn | 478.00 Mn | - |
| 7 | Pilgrims Pride | 6.69 Bn | 4.52 Bn | 339.75 Mn | - |
| 8 | Ingredion | 6.08 Bn | 2.26 Bn | 426.00 Mn | - |
| 9 | Seaboard | 3.94 Bn | -881.67 Mn | 221.00 Mn | - |
| 10 | Local Bounti Corporation | 30.23 Mn | 30.23 Mn | 1.05 Mn | 4.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.58 Mn |
| Mar 31, 2026 | 5.72 Mn |
| Dec 31, 2025 | 5.44 Mn |
| Sep 30, 2025 | 6.68 Mn |
| Jun 30, 2025 | 6.49 Mn |
| Mar 31, 2025 | 6.98 Mn |
| Dec 31, 2024 | 7.19 Mn |
| Sep 30, 2024 | 7.10 Mn |
| Jun 30, 2024 | 4.52 Mn |
| Mar 31, 2024 | 3.49 Mn |
| Dec 31, 2023 | 3.98 Mn |
| Sep 30, 2023 | 5.00 Mn |
| Jun 30, 2023 | 3.53 Mn |
| Mar 31, 2023 | 3.58 Mn |
| Dec 31, 2022 | 5.13 Mn |
| Sep 30, 2022 | 3.02 Mn |
| Jun 30, 2022 | 3.07 Mn |
| Mar 31, 2022 | 1.95 Mn |
| Dec 31, 2021 | 852,000.00 |
| Sep 30, 2021 | 1.42 Mn |
Local Bounti Corporation Research & Development 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=research-and-development&ticker=LOCL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "LOCL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=research-and-development&ticker=LOCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();