Lindsay (LNN) EBITDA (2010 - 2026)
Lindsay's EBITDA was $24.4 million in fiscal Q3 2026 (quarter ended May 31, 2026), down 15.6% from $28.89 million a year earlier but up 29.3% from the prior quarter.
Lindsay (LNN) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Lindsay's EBITDA was $84.69 million through May 31, 2026, down 23.9% year-over-year; for FY2025 (ended Aug 31, 2025), it came in at $109.02 million, up 11.5% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 8.2% (FY2020 to FY2025).
- In earlier fiscal years, EBITDA was $97.81 million in FY2024 (-19.5%), $121.47 million in FY2023 (+5.8%), $114.82 million in FY2022 (+56.7%) and $73.28 million in FY2021 (-0.4%).
- Quarterly EBITDA has moved between $13.91 million (fiscal Q4 2021) and $40.18 million (fiscal Q3 2022) over five years.
- Compared with a year earlier, EBITDA has declined for four straight quarters, with an average decline of 8.1% over the last eight quarters.
- 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 Q3 2026 was $18.86 million (Q2 2026), $24.92 million (Q1 2026) and $16.51 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 753.70 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 1.69 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 1.32 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Lindsay | 1.16 Bn | 369.91 Mn | 47.83 Mn | 24.40 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Aug 31, 2021 | 13.91 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();