Laird Superfood (LSF) EBT (2019 - 2026)
Laird Superfood (LSF) recorded EBT of -$1.81 million in Q2 2026, compared with -$353,916 a year earlier.
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Analysis
Laird Superfood (LSF) EBT (2019 - 2026) Analysis & Trends
On a TTM basis, Laird Superfood's EBT came in at -$4.9 million as of Jun 30, 2026; for FY2025, it was -$3.23 million.
- Across earlier years, EBT came in at -$1.76 million in FY2024, -$10.15 million in FY2023, -$40.32 million in FY2022 and -$23.85 million in FY2021.
- The Q2 2026 figure is the lowest quarterly EBT since Q3 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 375.10 Bn | 363.73 Bn | 8.42 Bn | 5.48 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 | 531.19 Mn |
| 4 | Pepsico | 175.39 Bn | 135.83 Bn | 13.11 Bn | 3.85 Bn |
| 5 | Anheuser-Busch InBev | 138.58 Bn | 107.33 Bn | 9.58 Bn | 4.56 Bn |
| 6 | Monster Beverage | 82.00 Bn | 70.25 Bn | 1.42 Bn | 768.27 Mn |
| 7 | Coca-Cola Europacific Partners | 46.20 Bn | 39.44 Bn | - | - |
| 8 | Ambev | 45.08 Bn | 31.10 Bn | 2.06 Bn | 857.33 Mn |
| 9 | Keurig Dr Pepper | 42.81 Bn | 43.05 Bn | 3.07 Bn | 305.00 Mn |
| 10 | Laird Superfood | 38.87 Mn | 884,965.00 | 12.52 Mn | -1.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.81 Mn |
| Dec 31, 2025 | -1.77 Mn |
| Sep 30, 2025 | -967,935.00 |
| Jun 30, 2025 | -353,916.00 |
| Mar 31, 2025 | -143,571.00 |
| Dec 31, 2024 | -386,021.00 |
| Sep 30, 2024 | -160,699.00 |
| Jun 30, 2024 | -235,552.00 |
| Mar 31, 2024 | -977,565.00 |
| Dec 31, 2023 | 144,946.00 |
| Sep 30, 2023 | -2.65 Mn |
| Jun 30, 2023 | -3.51 Mn |
| Mar 31, 2023 | -4.13 Mn |
| Dec 31, 2022 | -15.54 Mn |
| Sep 30, 2022 | -5.74 Mn |
| Jun 30, 2022 | -4.90 Mn |
| Mar 31, 2022 | -14.13 Mn |
| Dec 31, 2021 | -6.95 Mn |
| Sep 30, 2021 | -5.30 Mn |
| Jun 30, 2021 | -6.27 Mn |
API Access
Laird Superfood EBT 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=ebt&ticker=LSF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=LSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();