Lindsay (LNN) EBITDA (2009 - 2026)
Lindsay's EBITDA was $21.81 million in fiscal Q4 2026 (quarter ended Aug 31, 2026), up 32.1% from $16.51 million a year earlier but down 10.6% from the prior quarter.
Lindsay (LNN) EBITDA (2009 - 2026) Analysis & Trends
For FY2026 (ended Aug 31, 2026), EBITDA at Lindsay came in at $89.99 million, down 17.5% from FY2025.
- EBITDA shows a five-year compound annual growth rate of 4.2% (FY2021 to FY2026).
- In earlier fiscal years, EBITDA was $109.02 million in FY2025 (+11.5%), $97.81 million in FY2024 (-19.5%), $121.47 million in FY2023 (+5.8%) and $114.82 million in FY2022 (+56.7%).
- Quarterly EBITDA has moved between $16.51 million (fiscal Q4 2025) and $40.18 million (fiscal Q3 2022) over five years.
- Compared with a year earlier, EBITDA was higher in three of the last eight quarters, with an average year-over-year change of 0.0%.
- The best year-over-year quarter for EBITDA over five years was fiscal Q4 2022 (growth of 137.4%); the worst was fiscal Q2 2026 (a decline of 49.5%).
- Per Business Quant data, LNN's EBITDA in the three fiscal quarters before Q4 2026 was $24.4 million (Q3 2026), $18.86 million (Q2 2026) and $24.92 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 4.83 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 3.37 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 2.05 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 1.48 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 1.89 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 1.72 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 1.28 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 1.09 Bn |
| 10 | Lindsay | 1.11 Bn | 380.84 Mn | 43.50 Mn | 21.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 21.81 Mn |
| May 31, 2026 | 24.40 Mn |
| Feb 28, 2026 | 18.86 Mn |
| Nov 30, 2025 | 24.92 Mn |
| Aug 31, 2025 | 16.51 Mn |
| May 31, 2025 | 28.89 Mn |
| Feb 28, 2025 | 37.32 Mn |
| Nov 30, 2024 | 26.30 Mn |
| Aug 31, 2024 | 18.85 Mn |
| May 31, 2024 | 25.21 Mn |
| Feb 29, 2024 | 27.37 Mn |
| Nov 30, 2023 | 26.38 Mn |
| Aug 31, 2023 | 28.18 Mn |
| May 31, 2023 | 31.73 Mn |
| Feb 28, 2023 | 32.09 Mn |
| Nov 30, 2022 | 29.47 Mn |
| Aug 31, 2022 | 33.03 Mn |
| May 31, 2022 | 40.18 Mn |
| Feb 28, 2022 | 23.35 Mn |
| Nov 30, 2021 | 18.26 Mn |
Lindsay EBITDA 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=ebitda&ticker=LNN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=LNN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();