Lindsay (LNN) Total Non-Current Liabilities (2010 - 2026)
Lindsay (LNN) posted Total Non-Current Liabilities of $301.66 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 5.3% from $286.34 million a year earlier but down 1.1% from the prior quarter.
Lindsay (LNN) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Lindsay's Total Non-Current Liabilities came in at $280.2 million, up 7.3% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 2.2% (FY2020 to FY2025).
- In prior fiscal years, Lindsay's Total Non-Current Liabilities was $261.2 million in FY2024 (-4.7%), $274.03 million in FY2023 (-9.3%), $302.04 million in FY2022 (+8.4%) and $278.64 million in FY2021 (+10.9%).
- Quarterly Total Non-Current Liabilities has run from a low of $259.74 million in fiscal Q3 2024 to a high of $316.09 million in fiscal Q3 2022 over five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last six quarters, with growth averaging 4.3% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was fiscal Q2 2022, with growth of 16.6%; the weakest was fiscal Q3 2023, with a decline of 14.0%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior fiscal quarters was $305.08 million (Q2 2026), $285.11 million (Q1 2026) and $280.2 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | - |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 10.73 Bn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 18.30 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 23.79 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | 7.65 Bn |
| 10 | Lindsay | 1.15 Bn | 358.63 Mn | 47.83 Mn | 301.66 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 301.66 Mn |
| Feb 28, 2026 | 305.08 Mn |
| Nov 30, 2025 | 285.11 Mn |
| Aug 31, 2025 | 280.20 Mn |
| May 31, 2025 | 286.34 Mn |
| Feb 28, 2025 | 281.53 Mn |
| Nov 30, 2024 | 264.37 Mn |
| Aug 31, 2024 | 261.20 Mn |
| May 31, 2024 | 259.74 Mn |
| Feb 29, 2024 | 266.20 Mn |
| Nov 30, 2023 | 279.84 Mn |
| Aug 31, 2023 | 274.03 Mn |
| May 31, 2023 | 271.72 Mn |
| Feb 28, 2023 | 272.14 Mn |
| Nov 30, 2022 | 288.55 Mn |
| Aug 31, 2022 | 302.04 Mn |
| May 31, 2022 | 316.09 Mn |
| Feb 28, 2022 | 300.35 Mn |
| Nov 30, 2021 | 287.39 Mn |
| Aug 31, 2021 | 278.64 Mn |
Lindsay 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=LNN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "LNN", "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=LNN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();