Lindsay (LNN) Total Current Liabilities (2009 - 2026)
Lindsay (LNN) reported Total Current Liabilities of $149.82 million for fiscal Q4 2026 (quarter ended Aug 31, 2026), up 4.3% from $143.59 million a year earlier but down 8.5% from the prior quarter.
Lindsay (LNN) Total Current Liabilities (2009 - 2026) Analysis & Trends
Dating back to fiscal Q1 2011, Lindsay's Total Current Liabilities record includes 64 quarters.
- Total Current Liabilities has a five-year compound annual growth rate of 1.6% (FY2021 to FY2026).
- By fiscal year, Total Current Liabilities came in at $143.59 million in FY2025 (+14.1%), $125.82 million in FY2024 (-7.6%), $136.11 million in FY2023 (-15.4%) and $160.94 million in FY2022 (+16.4%).
- Five-year quarterly Total Current Liabilities spans a low of $123.74 million in fiscal Q3 2024 and a high of $173.81 million in fiscal Q3 2022.
- Year over year, Total Current Liabilities has now increased in each of the last seven quarters, with growth averaging 10.1% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was fiscal Q1 2022 (growth of 44.3%); the low point was fiscal Q3 2023 (a decline of 23.5%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $163.67 million (Q3 2026), $165.29 million (Q2 2026) and $148.43 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 40.67 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 10.04 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | - |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 12.99 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 9.22 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 11.87 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 10.12 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 5.10 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 8.71 Bn |
| 10 | Lindsay | 1.11 Bn | 380.84 Mn | 43.50 Mn | 149.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 149.82 Mn |
| May 31, 2026 | 163.67 Mn |
| Feb 28, 2026 | 165.29 Mn |
| Nov 30, 2025 | 148.43 Mn |
| Aug 31, 2025 | 143.59 Mn |
| May 31, 2025 | 150.24 Mn |
| Feb 28, 2025 | 144.89 Mn |
| Nov 30, 2024 | 129.85 Mn |
| Aug 31, 2024 | 125.82 Mn |
| May 31, 2024 | 123.74 Mn |
| Feb 29, 2024 | 129.28 Mn |
| Nov 30, 2023 | 141.97 Mn |
| Aug 31, 2023 | 136.11 Mn |
| May 31, 2023 | 133.05 Mn |
| Feb 28, 2023 | 132.79 Mn |
| Nov 30, 2022 | 148.59 Mn |
| Aug 31, 2022 | 160.94 Mn |
| May 31, 2022 | 173.81 Mn |
| Feb 28, 2022 | 161.40 Mn |
| Nov 30, 2021 | 147.78 Mn |
Lindsay Total 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-current-liabilities&ticker=LNN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=LNN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();