Lindsay (LNN) Total Liabilities (2009 - 2026)
Lindsay's Total Liabilities was $309.44 million in fiscal Q4 2026 (quarter ended Aug 31, 2026), up 0.5% from $307.99 million a year earlier but down 4.1% from the prior quarter.
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Analysis
Lindsay (LNN) Total Liabilities (2009 - 2026) Analysis & Trends
From fiscal Q1 2011 onward, Lindsay has reported Total Liabilities for 64 quarters.
- Total Liabilities shows a five-year compound annual growth rate of 0.7% (FY2021 to FY2026).
- In earlier fiscal years, Total Liabilities was $307.99 million in FY2025 (+10.3%), $279.34 million in FY2024 (-3.7%), $290.01 million in FY2023 (-8.6%) and $317.3 million in FY2022 (+6.2%).
- Quarterly Total Liabilities has moved between $278.11 million (fiscal Q3 2024) and $331.15 million (fiscal Q3 2022) over five years.
- Compared with a year earlier, Total Liabilities has increased for seven straight quarters, with growth averaging 5.9% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q2 2022 (growth of 15.3%); the worst was fiscal Q3 2023 (a decline of 13.4%).
- Per Business Quant data, LNN's Total Liabilities in the three fiscal quarters before Q4 2026 was $322.55 million (Q3 2026), $329.92 million (Q2 2026) and $310.24 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 85.36 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 29.76 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 36.43 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 25.86 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 35.36 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 21.06 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 13.36 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 12.67 Bn |
| 10 | Lindsay | 1.11 Bn | 380.84 Mn | 43.50 Mn | 309.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 309.44 Mn |
| May 31, 2026 | 322.55 Mn |
| Feb 28, 2026 | 329.92 Mn |
| Nov 30, 2025 | 310.24 Mn |
| Aug 31, 2025 | 307.99 Mn |
| May 31, 2025 | 312.09 Mn |
| Feb 28, 2025 | 297.77 Mn |
| Nov 30, 2024 | 282.54 Mn |
| Aug 31, 2024 | 279.34 Mn |
| May 31, 2024 | 278.11 Mn |
| Feb 29, 2024 | 282.25 Mn |
| Nov 30, 2023 | 297.06 Mn |
| Aug 31, 2023 | 290.01 Mn |
| May 31, 2023 | 286.82 Mn |
| Feb 28, 2023 | 286.81 Mn |
| Nov 30, 2022 | 303.51 Mn |
| Aug 31, 2022 | 317.30 Mn |
| May 31, 2022 | 331.15 Mn |
| Feb 28, 2022 | 320.05 Mn |
| Nov 30, 2021 | 307.50 Mn |
API Access
Lindsay 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=LNN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=LNN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();