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 | 416.85 Bn | 405.33 Bn | 8.45 Bn | 3.98 Bn |
| 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 | 9.49 Bn |
| 5 | Anheuser-Busch InBev | 154.67 Bn | 154.67 Bn | 27,528.00 | 11.48 Bn |
| 6 | Monster Beverage | 88.75 Bn | 85.98 Bn | 1.40 Bn | - |
| 7 | Coca-Cola Europacific Partners | 52.79 Bn | 46.01 Bn | - | 1.63 Bn |
| 8 | Keurig Dr Pepper | 51.16 Bn | 50.63 Bn | 3.53 Bn | 2.14 Bn |
| 9 | Ambev | 43.82 Bn | 28.73 Bn | 2.14 Bn | 281.32 Mn |
| 10 | Laird Superfood | 29.10 Mn | -15.22 Mn | 12.52 Mn | 7.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.25 Mn |
| Mar 31, 2026 | 3.88 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 |
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();