Local Bounti Corporation (LOCL) Depreciation and Depletion (2021 - 2026)
Local Bounti Corporation (LOCL) recorded Depreciation and Depletion of $4.9 million in Q2 2026, down 2.0% from $5 million a year earlier and down 2.0% from the prior quarter.
Local Bounti Corporation (LOCL) Depreciation and Depletion (2021 - 2026) Analysis & Trends
On a TTM basis, Local Bounti Corporation's Depreciation and Depletion came in at $19.89 million as of Jun 30, 2026, down 0.5% year-over-year; for FY2025, it was $19.9 million, up 30.1% from FY2024.
- Annual Depreciation and Depletion has increased for five straight years, with a five-year compound annual growth rate of 133.5% (FY2020 to FY2025).
- Across earlier years, Depreciation and Depletion came in at $15.3 million in FY2024 (+112.2%), $7.21 million in FY2023 (+33.6%), $5.4 million in FY2022 (+671.4%) and $700,000 in FY2021 (+143.9%).
- The Q2 2026 figure is the lowest quarterly Depreciation and Depletion since Q2 2024.
- On a year-over-year basis, Depreciation and Depletion rose in four of the last eight quarters, with growth averaging 65.1%.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 940.0% in Q2 2022, against a decline of 2.0% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $5 million (Q1 2026), $4.99 million (Q4 2025) and $5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.78 Bn | 35.07 Bn | 1.94 Bn | 233.00 Mn |
| 2 | Bunge Global | 20.50 Bn | 18.00 Bn | 1.68 Bn | - |
| 3 | Tyson Foods | 18.25 Bn | 14.61 Bn | 921.00 Mn | 273.00 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 | 115.40 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 | 4.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.90 Mn |
| Mar 31, 2026 | 5.00 Mn |
| Dec 31, 2025 | 4.99 Mn |
| Sep 30, 2025 | 5.00 Mn |
| Jun 30, 2025 | 5.00 Mn |
| Mar 31, 2025 | 5.00 Mn |
| Dec 31, 2024 | 4.99 Mn |
| Sep 30, 2024 | 5.00 Mn |
| Jun 30, 2024 | 3.00 Mn |
| Mar 31, 2024 | 2.34 Mn |
| Dec 31, 2023 | 2.01 Mn |
| Sep 30, 2023 | 1.70 Mn |
| Jun 30, 2023 | 1.60 Mn |
| Mar 31, 2023 | 1.80 Mn |
| Dec 31, 2022 | 1.90 Mn |
| Sep 30, 2022 | 1.70 Mn |
| Jun 30, 2022 | 1.30 Mn |
| Mar 31, 2022 | 541,000.00 |
| Dec 31, 2021 | 308,000.00 |
| Sep 30, 2021 | 142,000.00 |
Local Bounti Corporation Depreciation and Depletion 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=depreciation-and-depletion&ticker=LOCL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=LOCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();