Laird Superfood (LSF) Selling, General & Administrative (2019 - 2026)
Laird Superfood (LSF) recorded Selling, General & Administrative of $7.25 million in Q2 2026, up 229.2% from $2.2 million a year earlier.
Laird Superfood (LSF) Selling, General & Administrative (2019 - 2026) Analysis & Trends
On a TTM basis, Laird Superfood's Selling, General & Administrative came in at $15.23 million as of Jun 30, 2026, up 61.4% year-over-year; for FY2025, it was $10.23 million, up 10.0% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $9.3 million in FY2024 (-5.0%), $9.79 million in FY2023 (-68.0%), $30.6 million in FY2022 (+85.9%) and $16.46 million in FY2021 (+86.4%).
- The Q2 2026 figure is the highest quarterly Selling, General & Administrative since Q4 2022.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 229.2% in Q2 2026, against a decline of 85.0% in Q4 2023 at the low end.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 370.32 Bn | 358.96 Bn | 8.42 Bn | 3.72 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 | 9.09 Bn |
| 5 | Anheuser-Busch InBev | 132.06 Bn | 100.80 Bn | 9.58 Bn | 2.35 Bn |
| 6 | Monster Beverage | 81.53 Bn | 69.78 Bn | 1.42 Bn | - |
| 7 | Ambev | 46.02 Bn | 32.04 Bn | 2.06 Bn | -263.15 Mn |
| 8 | Coca-Cola Europacific Partners | 45.68 Bn | 38.92 Bn | - | -1.63 Bn |
| 9 | Keurig Dr Pepper | 41.29 Bn | 41.52 Bn | 3.07 Bn | 2.40 Bn |
| 10 | Laird Superfood | 38.65 Mn | 662,829.29 | 12.52 Mn | 7.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.25 Mn |
| Dec 31, 2025 | 3.08 Mn |
| Sep 30, 2025 | 2.70 Mn |
| Jun 30, 2025 | 2.20 Mn |
| Mar 31, 2025 | 2.24 Mn |
| Dec 31, 2024 | 2.37 Mn |
| Sep 30, 2024 | 2.62 Mn |
| Jun 30, 2024 | 2.15 Mn |
| Mar 31, 2024 | 2.16 Mn |
| Dec 31, 2023 | 1.76 Mn |
| Sep 30, 2023 | 2.25 Mn |
| Jun 30, 2023 | 2.70 Mn |
| Mar 31, 2023 | 3.08 Mn |
| Dec 31, 2022 | 11.75 Mn |
| Sep 30, 2022 | 4.38 Mn |
| Jun 30, 2022 | 2.64 Mn |
| Mar 31, 2022 | 11.83 Mn |
| Dec 31, 2021 | 4.40 Mn |
| Sep 30, 2021 | 4.25 Mn |
| Jun 30, 2021 | 4.16 Mn |
Laird Superfood Selling, General & Administrative 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=selling-general-and-administrative&ticker=LSF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=LSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();