Limoneira (LMNR) Total Liabilities (2011 - 2026)
Limoneira (LMNR) reported Total Liabilities of $148.85 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 24.4% from $119.62 million a year earlier and up 5.6% from the prior quarter.
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Analysis
Limoneira (LMNR) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Limoneira posted Total Liabilities of $131.11 million, up 22.4% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of -7.5% (FY2020 to FY2025).
- By fiscal year, Total Liabilities came in at $107.12 million in FY2024 (-3.9%), $111.52 million in FY2023 (-40.5%), $187.46 million in FY2022 (-8.0%) and $203.84 million in FY2021 (+5.2%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Total Liabilities since fiscal Q4 2022.
- Year over year, Total Liabilities has now increased in each of the last five quarters, with growth averaging 9.7% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was fiscal Q3 2026 (growth of 24.4%); the low point was fiscal Q2 2023 (a decline of 43.8%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $140.93 million (Q2 2026), $137.69 million (Q1 2026) and $131.11 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.74 Bn | 35.03 Bn | 1.94 Bn | 29.95 Bn |
| 2 | Bunge Global | 20.95 Bn | 18.46 Bn | 1.68 Bn | 29.44 Bn |
| 3 | Tyson Foods | 17.92 Bn | 14.28 Bn | 921.00 Mn | 17.43 Bn |
| 4 | Jbs | 12.87 Bn | -20.24 Bn | 2.59 Bn | 37.61 Bn |
| 5 | Darling Ingredients | 9.56 Bn | 9.16 Bn | 503.37 Mn | 5.68 Bn |
| 6 | Smithfield Foods | 7.54 Bn | 2.49 Bn | 478.00 Mn | 5.01 Bn |
| 7 | Pilgrims Pride | 6.69 Bn | 4.52 Bn | 339.75 Mn | 6.27 Bn |
| 8 | Ingredion | 6.08 Bn | 2.26 Bn | 426.00 Mn | 3.55 Bn |
| 9 | Seaboard | 3.94 Bn | -881.67 Mn | 221.00 Mn | 3.17 Bn |
| 10 | Limoneira | 218.49 Mn | 236.89 Mn | 6.56 Mn | 148.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 148.85 Mn |
| Apr 30, 2026 | 140.93 Mn |
| Jan 31, 2026 | 137.69 Mn |
| Oct 31, 2025 | 131.11 Mn |
| Jul 31, 2025 | 119.62 Mn |
| Apr 30, 2025 | 113.98 Mn |
| Jan 31, 2025 | 114.83 Mn |
| Oct 31, 2024 | 107.12 Mn |
| Jul 31, 2024 | 112.43 Mn |
| Apr 30, 2024 | 133.23 Mn |
| Jan 31, 2024 | 115.39 Mn |
| Oct 31, 2023 | 111.52 Mn |
| Jul 31, 2023 | 117.28 Mn |
| Apr 30, 2023 | 118.48 Mn |
| Jan 31, 2023 | 121.07 Mn |
| Oct 31, 2022 | 187.46 Mn |
| Jul 31, 2022 | 207.81 Mn |
| Apr 30, 2022 | 210.77 Mn |
| Jan 31, 2022 | 213.32 Mn |
| Oct 31, 2021 | 203.84 Mn |
API Access
Limoneira Total 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-liabilities&ticker=LMNR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "LMNR", "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-liabilities&ticker=LMNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();