Limoneira (LMNR) Net Long-Term Debt Issued (Repaid) (2010 - 2026)
Limoneira (LMNR) reported Non-Current Debt of $100.68 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 59.0% from $63.33 million a year earlier and up 7.4% from the prior quarter.
Limoneira (LMNR) Net Long-Term Debt Issued (Repaid) (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Limoneira posted Non-Current Debt of $72.45 million, up 81.0% from FY2024.
- Non-Current Debt has a five-year compound annual growth rate of -10.0% (FY2020 to FY2025).
- By fiscal year, Non-Current Debt came in at $40.03 million in FY2024 (-1.5%), $40.63 million in FY2023 (-61.0%), $104.08 million in FY2022 (-20.2%) and $130.35 million in FY2021 (+6.3%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Non-Current Debt since fiscal Q4 2022.
- Year over year, Non-Current Debt has now increased in each of the last five quarters, with growth averaging 40.9% over the last eight quarters.
- The high point for year-over-year Non-Current Debt in five years was fiscal Q4 2025 (growth of 81.0%); the low point was fiscal Q1 2023 (a decline of 71.2%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $93.71 million (Q2 2026), $89.92 million (Q1 2026) and $72.45 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 33.69 Bn | 30.17 Bn | 1.89 Bn | -1.00 Bn |
| 2 | Tyson Foods | 21.12 Bn | 17.37 Bn | 921.00 Mn | -59.00 Mn |
| 3 | Bunge Global | 18.99 Bn | 15.90 Bn | 1.33 Bn | -102.00 Mn |
| 4 | Jbs | 13.48 Bn | -1.41 Bn | 2.59 Bn | 1.07 Bn |
| 5 | Darling Ingredients | 8.10 Bn | 7.65 Bn | 503.37 Mn | -193.17 Mn |
| 6 | Smithfield Foods | 7.58 Bn | 2.13 Bn | 313.00 Mn | - |
| 7 | Pilgrims Pride | 6.86 Bn | 4.35 Bn | 333.67 Mn | 549.18 Mn |
| 8 | Ingredion | 5.83 Bn | 2.00 Bn | 426.00 Mn | - |
| 9 | Scotts Miracle-Gro | 3.75 Bn | 3.67 Bn | 365.90 Mn | -235.30 Mn |
| 10 | Limoneira | 191.74 Mn | 191.74 Mn | 6.56 Mn | 7.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 7.39 Mn |
| Apr 30, 2026 | 4.18 Mn |
| Jan 31, 2026 | 17.46 Mn |
| Oct 31, 2025 | 9.12 Mn |
| Jul 31, 2025 | 8.36 Mn |
| Apr 30, 2025 | -2.99 Mn |
| Jan 31, 2025 | 17.40 Mn |
| Oct 31, 2024 | -47,000.00 |
| Jul 31, 2024 | -19.49 Mn |
| Apr 30, 2024 | 8.07 Mn |
| Jan 31, 2024 | 11.10 Mn |
| Oct 31, 2023 | -94,000.00 |
| Jul 31, 2023 | -52,000.00 |
| Apr 30, 2023 | -83,000.00 |
| Jan 31, 2023 | -64.75 Mn |
| Oct 31, 2022 | -26.69 Mn |
| Jul 31, 2022 | -5.59 Mn |
| Apr 30, 2022 | 30.71 Mn |
| Jan 31, 2022 | 11.71 Mn |
| Oct 31, 2021 | 9.81 Mn |
Limoneira Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=LMNR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=LMNR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();