Laird Superfood (LSF) Amortizatization of Intangibles (2020 - 2022)
Laird Superfood (LSF) posted Amortizatization of Intangibles of $104,201 for Q3 2022, down 25.5% from $139,775 a year earlier but up 0.4% from the prior quarter.
Laird Superfood (LSF) Amortizatization of Intangibles (2020 - 2022) Analysis & Trends
For the trailing twelve months through Sep 30, 2022, Amortizatization of Intangibles at Laird Superfood was $490,939, up 99.5% year-over-year; for FY2021, it came in at $385,093.
- In prior years, Laird Superfood's Amortizatization of Intangibles was $10,152 in FY2020.
- Quarterly Amortizatization of Intangibles has run from a low of $2,524 in Q1 2020 to a high of $141,515 in Q4 2021 over five years.
- According to Business Quant data, Amortizatization of Intangibles for the three prior quarters was $103,741 (Q2 2022), $141,482 (Q1 2022) and $141,515 (Q4 2021).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 368.60 Bn | 357.24 Bn | 8.42 Bn | - |
| 2 | Diageo | 206.17 Bn | 198.57 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 179.07 Bn | 179.07 Bn | 2.06 Bn | - |
| 4 | Pepsico | 171.83 Bn | 132.26 Bn | 13.11 Bn | - |
| 5 | Anheuser-Busch InBev | 131.95 Bn | 100.69 Bn | 9.58 Bn | - |
| 6 | Monster Beverage | 84.12 Bn | 72.37 Bn | 1.42 Bn | - |
| 7 | Ambev | 46.97 Bn | 32.99 Bn | 2.06 Bn | - |
| 8 | Coca-Cola Europacific Partners | 45.38 Bn | 38.63 Bn | - | - |
| 9 | Keurig Dr Pepper | 41.33 Bn | 41.57 Bn | 3.07 Bn | 124.00 Mn |
| 10 | Laird Superfood | 38.32 Mn | 329,625.73 | 12.52 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 104,201.00 |
| Jun 30, 2022 | 103,741.00 |
| Mar 31, 2022 | 141,482.00 |
| Dec 31, 2021 | 141,515.00 |
| Sep 30, 2021 | 139,775.00 |
| Jun 30, 2021 | 98,533.00 |
| Mar 31, 2021 | 5,270.00 |
| Dec 31, 2020 | 2,553.00 |
| Sep 30, 2020 | 2,551.00 |
| Jun 30, 2020 | 2,524.00 |
| Mar 31, 2020 | 2,524.00 |
Laird Superfood 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=LSF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=LSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();