Lindsay (LNN) Cash & Equivalents (2010 - 2026)
Lindsay's Cash & Equivalents was $154.76 million in fiscal Q3 2026 (quarter ended May 31, 2026), down 21.1% from $196.12 million a year earlier and down 16.8% from the prior quarter.
Lindsay (LNN) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Cash & Equivalents at Lindsay came in at $250.58 million, up 31.3% from FY2024.
- Cash & Equivalents has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 15.6% (FY2020 to FY2025).
- In earlier fiscal years, Cash & Equivalents was $190.88 million in FY2024 (+18.7%), $160.76 million in FY2023 (+53.0%), $105.05 million in FY2022 (-17.4%) and $127.11 million in FY2021 (+4.7%).
- The fiscal Q3 2026 figure marks the lowest quarterly Cash & Equivalents since fiscal Q3 2024.
- Compared with a year earlier, Cash & Equivalents was higher in seven of the last eight quarters, with growth averaging 16.3%.
- The best year-over-year quarter for Cash & Equivalents over five years was fiscal Q3 2023 (growth of 60.9%); the worst was fiscal Q2 2022 (a decline of 37.8%).
- Per Business Quant data, LNN's Cash & Equivalents in the three fiscal quarters before Q3 2026 was $186.11 million (Q2 2026), $199.62 million (Q1 2026) and $250.58 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 6.71 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 4.73 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 8.93 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 483.00 Mn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 501.00 Mn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 2.81 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.18 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 2.96 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 839.00 Mn |
| 10 | Lindsay | 1.16 Bn | 371.64 Mn | 47.83 Mn | 154.76 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 154.76 Mn |
| Feb 28, 2026 | 186.11 Mn |
| Nov 30, 2025 | 199.62 Mn |
| Aug 31, 2025 | 250.58 Mn |
| May 31, 2025 | 196.12 Mn |
| Feb 28, 2025 | 172.04 Mn |
| Nov 30, 2024 | 194.07 Mn |
| Aug 31, 2024 | 190.88 Mn |
| May 31, 2024 | 140.22 Mn |
| Feb 29, 2024 | 133.42 Mn |
| Nov 30, 2023 | 159.38 Mn |
| Aug 31, 2023 | 160.76 Mn |
| May 31, 2023 | 131.58 Mn |
| Feb 28, 2023 | 97.68 Mn |
| Nov 30, 2022 | 99.17 Mn |
| Aug 31, 2022 | 105.05 Mn |
| May 31, 2022 | 81.76 Mn |
| Feb 28, 2022 | 68.95 Mn |
| Nov 30, 2021 | 84.72 Mn |
| Aug 31, 2021 | 127.11 Mn |
Lindsay Cash & Equivalents 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=cash-and-equivalents&ticker=LNN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=LNN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();