Lindsay (LNN) Retained Earnings (2010 - 2026)
Lindsay's Retained Earnings was $778.26 million in fiscal Q3 2026 (quarter ended May 31, 2026), up 5.4% from $738.6 million a year earlier and up 1.6% from the prior quarter.
Lindsay (LNN) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Retained Earnings at Lindsay came in at $745.4 million, up 8.5% from FY2024.
- Retained Earnings has now increased for six consecutive fiscal years, with a five-year compound annual growth rate of 8.3% (FY2020 to FY2025).
- In earlier fiscal years, Retained Earnings was $687.09 million in FY2024 (+8.0%), $636.3 million in FY2023 (+9.9%), $579 million in FY2022 (+9.6%) and $528.13 million in FY2021 (+5.7%).
- The fiscal Q3 2026 figure marks the highest quarterly Retained Earnings in data going back to fiscal Q1 2011.
- Compared with a year earlier, Retained Earnings has increased for 26 straight quarters, with growth averaging 7.8% over the last eight quarters.
- Over the past five years, the year-over-year growth in Retained Earnings ranged from 5.4% (fiscal Q3 2026) to 11.9% (fiscal Q2 2023).
- Per Business Quant data, LNN's Retained Earnings in the three fiscal quarters before Q3 2026 was $766.2 million (Q2 2026), $758 million (Q1 2026) and $745.4 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 70.14 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 11.64 Bn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | 62.17 Bn |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 11.53 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 24.49 Bn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 1.87 Bn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 41.58 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 38.63 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | 30.81 Bn |
| 10 | Lindsay | 1.15 Bn | 358.63 Mn | 47.83 Mn | 778.26 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 778.26 Mn |
| Feb 28, 2026 | 766.20 Mn |
| Nov 30, 2025 | 758.00 Mn |
| Aug 31, 2025 | 745.40 Mn |
| May 31, 2025 | 738.60 Mn |
| Feb 28, 2025 | 723.01 Mn |
| Nov 30, 2024 | 700.35 Mn |
| Aug 31, 2024 | 687.09 Mn |
| May 31, 2024 | 678.26 Mn |
| Feb 29, 2024 | 661.72 Mn |
| Nov 30, 2023 | 647.46 Mn |
| Aug 31, 2023 | 636.30 Mn |
| May 31, 2023 | 620.92 Mn |
| Feb 28, 2023 | 607.78 Mn |
| Nov 30, 2022 | 593.48 Mn |
| Aug 31, 2022 | 579.00 Mn |
| May 31, 2022 | 564.81 Mn |
| Feb 28, 2022 | 543.36 Mn |
| Nov 30, 2021 | 532.41 Mn |
| Aug 31, 2021 | 528.13 Mn |
Lindsay Retained Earnings 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=retained-earnings&ticker=LNN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=LNN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();