Lifeway Foods (LWAY) Total Non-Current Liabilities (2016 - 2026)
Lifeway Foods' Total Non-Current Liabilities came in at $21.43 million for Q4 2022, down 0.8% from $21.6 million a year earlier and down 7.9% from the prior quarter.
Lifeway Foods (LWAY) Total Non-Current Liabilities (2016 - 2026) Analysis & Trends
Going back to Q4 2016, Lifeway Foods' Total Non-Current Liabilities data covers 25 quarters.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 4.6% (FY2017 to FY2022).
- Going back by year, Total Non-Current Liabilities was $21.6 million in FY2021 (+50.8%), $14.32 million in FY2020 (+4.7%), $13.68 million in FY2019 (-1.2%) and $13.84 million in FY2018 (-19.3%).
- The five-year range for quarterly Total Non-Current Liabilities is $12.55 million (Q2 2020) to $23.27 million (Q3 2022).
- Year-over-year, Total Non-Current Liabilities increased in seven of the last eight quarters, with growth averaging 30.1%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q1 2022 (growth of 62.7%), and the weakest in Q4 2018 (a decline of 19.3%).
- Business Quant data shows LWAY's Total Non-Current Liabilities at $23.27 million (Q3 2022), $20.06 million (Q2 2022) and $22.41 million (Q1 2022) in the three quarters before Q4 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - | 33.96 Bn |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn | 43.35 Bn |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn | 8.39 Bn |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn | 34.81 Bn |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn | 21.57 Bn |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn | 8.16 Bn |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | 8.65 Bn |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | 5.23 Bn |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | 3.32 Bn |
| 10 | Lifeway Foods | 336.24 Mn | 294.99 Mn | 13.03 Mn | 47.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47.66 Mn |
| Mar 31, 2026 | 30.11 Mn |
| Dec 31, 2025 | 19.79 Mn |
| Dec 31, 2022 | 21.43 Mn |
| Sep 30, 2022 | 23.27 Mn |
| Jun 30, 2022 | 20.06 Mn |
| Mar 31, 2022 | 22.41 Mn |
| Dec 31, 2021 | 21.60 Mn |
| Sep 30, 2021 | 21.22 Mn |
| Jun 30, 2021 | 13.63 Mn |
| Mar 31, 2021 | 13.77 Mn |
| Dec 31, 2020 | 14.32 Mn |
| Sep 30, 2020 | 13.36 Mn |
| Jun 30, 2020 | 12.55 Mn |
| Mar 31, 2020 | 13.33 Mn |
| Dec 31, 2019 | 13.68 Mn |
| Sep 30, 2019 | 15.57 Mn |
| Jun 30, 2019 | 15.31 Mn |
| Mar 31, 2019 | 14.47 Mn |
| Dec 31, 2018 | 13.84 Mn |
Lifeway Foods Total 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=total-non-current-liabilities&ticker=LWAY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "LWAY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=LWAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();