Laird Superfood (LSF) Depreciation & Amortization (CF) (2019 - 2026)
Laird Superfood's Depreciation & Amortization (CF) came in at $67,685 for Q4 2025, up 2.8% from $65,852 a year earlier and up 12.6% from the prior quarter.
Laird Superfood (LSF) Depreciation & Amortization (CF) (2019 - 2026) Analysis & Trends
For FY2025, Laird Superfood's Depreciation & Amortization (CF) was $253,719, down 6.1% from FY2024.
- Depreciation & Amortization (CF) has declined in each of the last three years, with a five-year compound annual growth rate of -11.8% (FY2020 to FY2025).
- Going back by year, Depreciation & Amortization (CF) was $270,271 in FY2024 (-11.7%), $306,176 in FY2023 (-72.6%), $1.12 million in FY2022 (+13.9%) and $981,598 in FY2021 (+106.8%).
- The Q4 2025 figure represents the highest quarterly Depreciation & Amortization (CF) since Q1 2024.
- Year-over-year, Depreciation & Amortization (CF) increased in 1 of the last eight quarters, with an average decline of 8.7%.
- The fastest year-over-year change in Depreciation & Amortization (CF) over five years came in Q1 2022 (growth of 116.5%), and the weakest in Q2 2023 (a decline of 73.9%).
- Business Quant data shows LSF's Depreciation & Amortization (CF) at $60,137 (Q3 2025), $59,376 (Q2 2025) and $66,521 (Q1 2025) in the three quarters before Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 416.85 Bn | 405.33 Bn | 8.45 Bn | 253.00 Mn |
| 2 | Diageo | 246.91 Bn | 229.06 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 201.88 Bn | 201.88 Bn | 37.08 Bn | - |
| 4 | Pepsico | 195.70 Bn | 153.66 Bn | 13.75 Bn | 892.00 Mn |
| 5 | Anheuser-Busch InBev | 154.67 Bn | 154.67 Bn | 27,528.00 | - |
| 6 | Monster Beverage | 88.75 Bn | 85.98 Bn | 1.40 Bn | 31.70 Mn |
| 7 | Coca-Cola Europacific Partners | 52.79 Bn | 46.01 Bn | - | - |
| 8 | Keurig Dr Pepper | 51.16 Bn | 50.63 Bn | 3.53 Bn | 205.00 Mn |
| 9 | Ambev | 43.82 Bn | 28.73 Bn | 2.14 Bn | 328.66 Mn |
| 10 | Laird Superfood | 29.10 Mn | -15.22 Mn | 12.52 Mn | 1.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.11 Mn |
| Mar 31, 2026 | 171,667.00 |
| Dec 31, 2025 | 67,685.00 |
| Sep 30, 2025 | 60,137.00 |
| Jun 30, 2025 | 59,376.00 |
| Mar 31, 2025 | 66,521.00 |
| Dec 31, 2024 | 65,852.00 |
| Sep 30, 2024 | 65,840.00 |
| Jun 30, 2024 | 67,144.00 |
| Mar 31, 2024 | 71,435.00 |
| Dec 31, 2023 | 71,151.00 |
| Sep 30, 2023 | 71,493.00 |
| Jun 30, 2023 | 75,579.00 |
| Mar 31, 2023 | 87,953.00 |
| Dec 31, 2022 | 271,715.00 |
| Sep 30, 2022 | 271,995.00 |
| Jun 30, 2022 | 186,319.00 |
| Mar 31, 2022 | 284,301.00 |
| Dec 31, 2021 | 527,198.00 |
| Sep 30, 2021 | 152,139.00 |
Laird Superfood Depreciation & Amortization (CF) 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-amortization-cf&ticker=LSF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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-amortization-cf&ticker=LSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();