Lindsay (LNN) Inventory (2010 - 2026)
Lindsay (LNN) posted Inventory of $145.95 million for fiscal Q3 2026 (quarter ended May 31, 2026), down 3.0% from $150.5 million a year earlier but up 0.9% from the prior quarter.
Lindsay (LNN) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Lindsay's Inventory came in at $136.9 million, down 11.4% from FY2024.
- Annual Inventory has declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 5.5% (FY2020 to FY2025).
- In prior fiscal years, Lindsay's Inventory was $154.5 million in FY2024 (-0.9%), $155.93 million in FY2023 (-19.5%), $193.78 million in FY2022 (+33.4%) and $145.24 million in FY2021 (+38.6%).
- Quarterly Inventory has run from a low of $136.9 million in fiscal Q4 2025 to a high of $195.6 million in fiscal Q3 2022 over five years.
- On a year-over-year basis, Inventory has declined in each of the last eight quarters, with an average decline of 6.6% over the last eight quarters.
- The strongest year-over-year quarter for Inventory in the past five years was fiscal Q2 2022, with growth of 54.1%; the weakest was fiscal Q4 2023, with a decline of 19.5%.
- According to Business Quant data, Inventory for the three prior fiscal quarters was $144.6 million (Q2 2026), $146.4 million (Q1 2026) and $136.9 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 20.63 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 4.55 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 7.81 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 5.42 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 3.17 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 2.52 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 2.51 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 3.77 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 1.76 Bn |
| 10 | Lindsay | 1.16 Bn | 369.91 Mn | 47.83 Mn | 145.95 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 145.95 Mn |
| Feb 28, 2026 | 144.60 Mn |
| Nov 30, 2025 | 146.40 Mn |
| Aug 31, 2025 | 136.90 Mn |
| May 31, 2025 | 150.50 Mn |
| Feb 28, 2025 | 154.61 Mn |
| Nov 30, 2024 | 158.30 Mn |
| Aug 31, 2024 | 154.50 Mn |
| May 31, 2024 | 171.52 Mn |
| Feb 29, 2024 | 167.33 Mn |
| Nov 30, 2023 | 164.14 Mn |
| Aug 31, 2023 | 155.93 Mn |
| May 31, 2023 | 166.80 Mn |
| Feb 28, 2023 | 178.70 Mn |
| Nov 30, 2022 | 188.40 Mn |
| Aug 31, 2022 | 193.78 Mn |
| May 31, 2022 | 195.60 Mn |
| Feb 28, 2022 | 187.33 Mn |
| Nov 30, 2021 | 173.12 Mn |
| Aug 31, 2021 | 145.24 Mn |
Lindsay Inventory 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=inventory&ticker=LNN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=LNN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();