Local Bounti Corporation (LOCL) Amortizatization of Intangibles (2022 - 2026)
Local Bounti Corporation's Amortizatization of Intangibles was $628,000 in Q2 2026, down 29.7% from $893,000 a year earlier and unchanged from the prior quarter.
Local Bounti Corporation (LOCL) Amortizatization of Intangibles (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Local Bounti Corporation's Amortizatization of Intangibles was $2.78 million through Jun 30, 2026, down 22.2% year-over-year; for FY2025, it came in at $3.31 million, down 7.4% from FY2024.
- Amortizatization of Intangibles shows a three-year compound annual growth rate of -13.0% (FY2022 to FY2025).
- In earlier years, Amortizatization of Intangibles was $3.57 million in FY2024 (-39.7%), $5.92 million in FY2023 (+17.8%) and $5.03 million in FY2022.
- Quarterly Amortizatization of Intangibles has moved between $628,000 (Q4 2025) and $1.68 million (Q3 2023) over five years.
- Compared with a year earlier, Amortizatization of Intangibles has declined for four straight quarters, with an average decline of 17.0% over the last eight quarters.
- The best year-over-year quarter for Amortizatization of Intangibles over five years was Q3 2023 (growth of 33.4%); the worst was Q2 2024 (a decline of 46.7%).
- Per Business Quant data, LOCL's Amortizatization of Intangibles in the three quarters before Q2 2026 was $628,000 (Q1 2026), $628,000 (Q4 2025) and $892,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.78 Bn | 35.07 Bn | 1.94 Bn | - |
| 2 | Bunge Global | 20.50 Bn | 18.00 Bn | 1.68 Bn | - |
| 3 | Tyson Foods | 18.25 Bn | 14.61 Bn | 921.00 Mn | - |
| 4 | Jbs | 12.94 Bn | -20.17 Bn | 2.59 Bn | - |
| 5 | Darling Ingredients | 9.93 Bn | 9.53 Bn | 503.37 Mn | - |
| 6 | Smithfield Foods | 7.43 Bn | 2.38 Bn | 478.00 Mn | - |
| 7 | Pilgrims Pride | 6.55 Bn | 4.38 Bn | 339.75 Mn | - |
| 8 | Ingredion | 6.02 Bn | 2.19 Bn | 426.00 Mn | - |
| 9 | Seaboard | 3.87 Bn | -946.73 Mn | 221.00 Mn | - |
| 10 | Local Bounti Corporation | 31.40 Mn | 31.40 Mn | 1.05 Mn | 628,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 628,000.00 |
| Mar 31, 2026 | 628,000.00 |
| Dec 31, 2025 | 628,000.00 |
| Sep 30, 2025 | 892,000.00 |
| Jun 30, 2025 | 893,000.00 |
| Mar 31, 2025 | 892,000.00 |
| Dec 31, 2024 | 892,000.00 |
| Sep 30, 2024 | 893,000.00 |
| Jun 30, 2024 | 892,000.00 |
| Mar 31, 2024 | 893,000.00 |
| Dec 31, 2023 | 893,000.00 |
| Sep 30, 2023 | 1.68 Mn |
| Jun 30, 2023 | 1.68 Mn |
| Mar 31, 2023 | 1.68 Mn |
| Dec 31, 2022 | 1.68 Mn |
| Sep 30, 2022 | 1.26 Mn |
Local Bounti Corporation Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=LOCL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=LOCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();