Laird Superfood (LSF) Research & Development (2019 - 2023)
Laird Superfood's Research & Development was $13,410 in Q4 2023, down 85.4% from $92,160 a year earlier and down 66.6% from the prior quarter.
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Analysis
Laird Superfood (LSF) Research & Development (2019 - 2023) Analysis & Trends
For FY2023, Research & Development at Laird Superfood came in at $219,723, down 48.6% from FY2022.
- Research & Development shows a four-year compound annual growth rate of -9.3% (FY2019 to FY2023).
- In earlier years, Research & Development was $427,537 in FY2022 (-58.5%), $1.03 million in FY2021 (+102.7%), $508,170 in FY2020 (+56.7%) and $324,284 in FY2019.
- The Q4 2023 figure marks the lowest quarterly Research & Development in data going back to Q1 2019.
- Compared with a year earlier, Research & Development has declined for eight straight quarters, with an average decline of 53.0% over the last eight quarters.
- The best year-over-year quarter for Research & Development over five years was Q1 2020 (growth of 326.9%); the worst was Q4 2023 (a decline of 85.4%).
- Per Business Quant data, LSF's Research & Development in the three quarters before Q4 2023 was $40,123 (Q3 2023), $82,324 (Q2 2023) and $83,866 (Q1 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 375.10 Bn | 363.73 Bn | 8.42 Bn | - |
| 2 | Diageo | 209.77 Bn | 202.17 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 182.89 Bn | 182.89 Bn | 2.06 Bn | - |
| 4 | Pepsico | 175.39 Bn | 135.83 Bn | 13.11 Bn | - |
| 5 | Anheuser-Busch InBev | 138.58 Bn | 107.33 Bn | 9.58 Bn | - |
| 6 | Monster Beverage | 82.00 Bn | 70.25 Bn | 1.42 Bn | - |
| 7 | Coca-Cola Europacific Partners | 46.20 Bn | 39.44 Bn | - | - |
| 8 | Ambev | 45.08 Bn | 31.10 Bn | 2.06 Bn | - |
| 9 | Keurig Dr Pepper | 42.81 Bn | 43.05 Bn | 3.07 Bn | - |
| 10 | Laird Superfood | 38.87 Mn | 884,965.00 | 12.52 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 13,410.00 |
| Sep 30, 2023 | 40,123.00 |
| Jun 30, 2023 | 82,324.00 |
| Mar 31, 2023 | 83,866.00 |
| Dec 31, 2022 | 92,160.00 |
| Sep 30, 2022 | 115,077.00 |
| Jun 30, 2022 | 116,467.00 |
| Mar 31, 2022 | 103,833.00 |
| Dec 31, 2021 | 171,984.00 |
| Sep 30, 2021 | 242,604.00 |
| Jun 30, 2021 | 374,853.00 |
| Mar 31, 2021 | 240,686.00 |
| Dec 31, 2020 | 144,180.00 |
| Sep 30, 2020 | 102,879.00 |
| Jun 30, 2020 | 117,797.00 |
| Mar 31, 2020 | 143,314.00 |
| Dec 31, 2019 | 137,872.00 |
| Sep 30, 2019 | 109,978.00 |
| Jun 30, 2019 | 42,866.00 |
| Mar 31, 2019 | 33,568.00 |
API Access
Laird Superfood Research & Development 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=research-and-development&ticker=LSF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=LSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();