Lindsay (LNN) Return on Equity [ROE] (2009 - 2026)
Lindsay (LNN) recorded Return on Equity [ROE] of 11.06% in fiscal Q4 2026 (quarter ended Aug 31, 2026), down 2.88 percentage points from 13.95% a year earlier but up 0.11 percentage points from the prior quarter.
Lindsay (LNN) Return on Equity [ROE] (2009 - 2026) Analysis & Trends
For FY2026 (ended Aug 31, 2026), Lindsay reported Return on Equity [ROE] of 10.72%, down 3.89 percentage points from FY2025.
- Annual Return on Equity [ROE] has a five-year change of -2.65 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Equity [ROE] came in at 14.61% in FY2025 (+0.46 pp), 14.15% in FY2024 (-2.90 pp), 17.05% in FY2023 (-0.84 pp) and 17.89% in FY2022 (+4.53 pp).
- Quarterly Return on Equity [ROE] has ranged from 10.95% in fiscal Q3 2026 to 19.16% in fiscal Q2 2023 over the past five years.
- On a year-over-year basis, Return on Equity [ROE] has declined for four consecutive quarters, with an average year-over-year change of -1.37 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Equity [ROE] in the last five years was a gain of 6.26 percentage points in fiscal Q1 2023, against a drop of 4.60 percentage points in fiscal Q2 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 10.95% (Q3 2026), 11.47% (Q2 2026) and 13.96% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 57.87% |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 36.42% |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 17.59% |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 18.89% |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 23.66% |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 101.25% |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 13.09% |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 106.94% |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 40.90% |
| 10 | Lindsay | 1.11 Bn | 380.84 Mn | 43.50 Mn | 11.06% |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 11.06% |
| May 31, 2026 | 10.95% |
| Feb 28, 2026 | 11.47% |
| Nov 30, 2025 | 13.96% |
| Aug 31, 2025 | 13.95% |
| May 31, 2025 | 14.53% |
| Feb 28, 2025 | 15.29% |
| Nov 30, 2024 | 14.10% |
| Aug 31, 2024 | 13.78% |
| May 31, 2024 | 15.10% |
| Feb 29, 2024 | 14.56% |
| Nov 30, 2023 | 14.98% |
| Aug 31, 2023 | 16.20% |
| May 31, 2023 | 16.53% |
| Feb 28, 2023 | 19.16% |
| Nov 30, 2022 | 18.98% |
| Aug 31, 2022 | 16.90% |
| May 31, 2022 | 14.46% |
| Feb 28, 2022 | 13.17% |
| Nov 30, 2021 | 12.73% |
Lindsay Return on Equity [ROE] 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=return-on-equity-%5Broe%5D&ticker=LNN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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=return-on-equity-%5Broe%5D&ticker=LNN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();