Laird Superfood (LSF) Depreciation and Depletion (2019 - 2025)
Laird Superfood (LSF) posted Depreciation and Depletion of $22,685 for Q4 2025, up 9.1% from $20,798 a year earlier but down 9.8% from the prior quarter.
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Analysis
Laird Superfood (LSF) Depreciation and Depletion (2019 - 2025) Analysis & Trends
For FY2025, Laird Superfood's Depreciation and Depletion came in at $93,699, up 15.4% from FY2024.
- Annual Depreciation and Depletion shows a five-year compound annual growth rate of -27.7% (FY2020 to FY2025).
- In prior years, Laird Superfood's Depreciation and Depletion was $81,163 in FY2024 (-18.3%), $99,289 in FY2023 (-85.2%), $669,611 in FY2022 (+12.3%) and $596,505 in FY2021 (+25.7%).
- Quarterly Depreciation and Depletion has run from a low of $19,429 in Q4 2023 to a high of $186,319 in Q2 2022 over five years.
- On a year-over-year basis, Depreciation and Depletion has increased in each of the last six quarters, with growth averaging 1.5% over the last eight quarters.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q2 2021, with growth of 49.4%; the weakest was Q4 2023, with a decline of 88.7%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $25,162 (Q3 2025), $24,386 (Q2 2025) and $21,466 (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 370.32 Bn | 358.96 Bn | 8.42 Bn | - |
| 2 | Diageo | 208.31 Bn | 200.71 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 181.53 Bn | 181.53 Bn | 2.06 Bn | - |
| 4 | Pepsico | 172.96 Bn | 133.40 Bn | 13.11 Bn | - |
| 5 | Anheuser-Busch InBev | 132.06 Bn | 100.80 Bn | 9.58 Bn | - |
| 6 | Monster Beverage | 81.53 Bn | 69.78 Bn | 1.42 Bn | - |
| 7 | Ambev | 46.02 Bn | 32.04 Bn | 2.06 Bn | - |
| 8 | Coca-Cola Europacific Partners | 45.68 Bn | 38.92 Bn | - | - |
| 9 | Keurig Dr Pepper | 41.29 Bn | 41.52 Bn | 3.07 Bn | 208.00 Mn |
| 10 | Laird Superfood | 38.65 Mn | 662,829.29 | 12.52 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 22,685.00 |
| Sep 30, 2025 | 25,162.00 |
| Jun 30, 2025 | 24,386.00 |
| Mar 31, 2025 | 21,466.00 |
| Dec 31, 2024 | 20,798.00 |
| Sep 30, 2024 | 20,785.00 |
| Jun 30, 2024 | 19,866.00 |
| Mar 31, 2024 | 19,714.00 |
| Dec 31, 2023 | 19,429.00 |
| Sep 30, 2023 | 19,772.00 |
| Jun 30, 2023 | 23,857.00 |
| Mar 31, 2023 | 36,231.00 |
| Dec 31, 2022 | 172,679.00 |
| Sep 30, 2022 | 167,794.00 |
| Jun 30, 2022 | 186,319.00 |
| Mar 31, 2022 | 142,819.00 |
| Dec 31, 2021 | 142,105.00 |
| Sep 30, 2021 | 152,139.00 |
| Jun 30, 2021 | 170,928.00 |
| Mar 31, 2021 | 131,333.00 |
API Access
Laird Superfood 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=LSF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "LSF", "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=LSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();