Laird Superfood (LSF) EBIT (2019 - 2026)
Laird Superfood (LSF) posted EBIT of -$1.86 million for Q2 2026, compared with -$399,477 a year earlier.
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Analysis
Laird Superfood (LSF) EBIT (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBIT at Laird Superfood was -$5.06 million; for FY2025, it was -$3.41 million.
- In prior years, Laird Superfood's EBIT was -$2.17 million in FY2024, -$10.7 million in FY2023, -$40.36 million in FY2022 and -$23.95 million in FY2021.
- The Q2 2026 figure stands as the lowest quarterly EBIT since Q3 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 375.10 Bn | 363.73 Bn | 8.42 Bn | 4.67 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 | 612.08 Mn |
| 4 | Pepsico | 175.39 Bn | 135.83 Bn | 13.11 Bn | 4.02 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 | 740.44 Mn |
| 7 | Coca-Cola Europacific Partners | 46.20 Bn | 39.44 Bn | - | - |
| 8 | Ambev | 45.08 Bn | 31.10 Bn | 2.06 Bn | 951.20 Mn |
| 9 | Keurig Dr Pepper | 42.81 Bn | 43.05 Bn | 3.07 Bn | 628.00 Mn |
| 10 | Laird Superfood | 38.87 Mn | 884,965.00 | 12.52 Mn | -1.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.86 Mn |
| Dec 31, 2025 | -1.80 Mn |
| Sep 30, 2025 | -995,582.00 |
| Jun 30, 2025 | -399,477.00 |
| Mar 31, 2025 | -218,019.00 |
| Dec 31, 2024 | -477,319.00 |
| Sep 30, 2024 | -268,590.00 |
| Jun 30, 2024 | -338,621.00 |
| Mar 31, 2024 | -1.09 Mn |
| Dec 31, 2023 | 46,170.00 |
| Sep 30, 2023 | -2.79 Mn |
| Jun 30, 2023 | -3.66 Mn |
| Mar 31, 2023 | -4.30 Mn |
| Dec 31, 2022 | -15.66 Mn |
| Sep 30, 2022 | -5.82 Mn |
| Jun 30, 2022 | -4.93 Mn |
| Mar 31, 2022 | -13.95 Mn |
| Dec 31, 2021 | -7.02 Mn |
| Sep 30, 2021 | -5.31 Mn |
| Jun 30, 2021 | -6.28 Mn |
API Access
Laird Superfood EBIT 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=ebit&ticker=LSF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=LSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();