Laird Superfood (LSF) Other Non-Current Liabilities (2021 - 2023)
Laird Superfood's Other Non-Current Liabilities was $400,000 in Q2 2023, down 20.0% from $500,000 a year earlier and down 42.9% from the prior quarter.
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Analysis
Laird Superfood (LSF) Other Non-Current Liabilities (2021 - 2023) Analysis & Trends
At the end of FY2022, Other Non-Current Liabilities at Laird Superfood came in at $300,000, down 25.0% from FY2021.
- In earlier years, Other Non-Current Liabilities was $400,000 in FY2021.
- Quarterly Other Non-Current Liabilities has moved between $300,000 (Q4 2022) and $700,000 (Q1 2023) over five years.
- Per Business Quant data, LSF's Other Non-Current Liabilities in the three quarters before Q2 2023 was $700,000 (Q1 2023), $300,000 (Q4 2022) and $500,000 (Q3 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 413.22 Bn | 399.53 Bn | 8.45 Bn |
| 2 | Diageo | 224.45 Bn | 204.52 Bn | - |
| 3 | Coca Cola Femsa Sab De Cv | 196.49 Bn | 189.17 Bn | - |
| 4 | Pepsico | 192.84 Bn | 150.60 Bn | 13.75 Bn |
| 5 | Anheuser-Busch InBev | 148.28 Bn | 110.64 Bn | - |
| 6 | Monster Beverage | 88.63 Bn | 76.88 Bn | 1.42 Bn |
| 7 | Coca-Cola Europacific Partners | 53.10 Bn | 46.73 Bn | - |
| 8 | Keurig Dr Pepper | 50.04 Bn | 46.09 Bn | 3.07 Bn |
| 9 | Ambev | 43.10 Bn | 28.94 Bn | - |
| 10 | Laird Superfood | 27.55 Mn | -16.78 Mn | 12.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 400,000.00 |
| Mar 31, 2023 | 700,000.00 |
| Dec 31, 2022 | 300,000.00 |
| Sep 30, 2022 | 500,000.00 |
| Jun 30, 2022 | 500,000.00 |
| Mar 31, 2022 | 500,000.00 |
| Dec 31, 2021 | 400,000.00 |
API Access
Laird Superfood Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=LSF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=LSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();