Lindsay (LNN) Operating Expenses (2010 - 2026)
Lindsay (LNN) recorded Operating Expenses of $29.32 million in fiscal Q3 2026 (quarter ended May 31, 2026), down 1.7% from $29.83 million a year earlier and down 0.1% from the prior quarter.
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Analysis
Lindsay (LNN) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Lindsay's Operating Expenses came in at $122.53 million as of May 31, 2026, up 0.9% year-over-year; for FY2025 (ended Aug 31, 2025), it was $122.66 million, up 7.2% from FY2024.
- Annual Operating Expenses has increased for four straight fiscal years, with a five-year compound annual growth rate of 4.5% (FY2020 to FY2025).
- Across earlier fiscal years, Operating Expenses came in at $114.45 million in FY2024 (+3.3%), $110.83 million in FY2023 (+6.0%), $104.54 million in FY2022 (+8.8%) and $96.1 million in FY2021 (-2.3%).
- The fiscal Q3 2026 figure is the lowest quarterly Operating Expenses since fiscal Q1 2025.
- On a year-over-year basis, Operating Expenses rose in six of the last eight quarters, with growth averaging 5.0%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 21.5% in fiscal Q4 2022, against a decline of 13.5% in fiscal Q4 2021 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $29.34 million (Q2 2026), $30.5 million (Q1 2026) and $33.38 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | - |
| 10 | Lindsay | 1.16 Bn | 369.91 Mn | 47.83 Mn | 29.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 29.32 Mn |
| Feb 28, 2026 | 29.34 Mn |
| Nov 30, 2025 | 30.50 Mn |
| Aug 31, 2025 | 33.38 Mn |
| May 31, 2025 | 29.83 Mn |
| Feb 28, 2025 | 30.36 Mn |
| Nov 30, 2024 | 29.08 Mn |
| Aug 31, 2024 | 32.20 Mn |
| May 31, 2024 | 26.56 Mn |
| Feb 29, 2024 | 26.86 Mn |
| Nov 30, 2023 | 28.83 Mn |
| Aug 31, 2023 | 29.15 Mn |
| May 31, 2023 | 26.26 Mn |
| Feb 28, 2023 | 26.99 Mn |
| Nov 30, 2022 | 28.42 Mn |
| Aug 31, 2022 | 29.34 Mn |
| May 31, 2022 | 26.52 Mn |
| Feb 28, 2022 | 24.61 Mn |
| Nov 30, 2021 | 24.08 Mn |
| Aug 31, 2021 | 24.14 Mn |
API Access
Lindsay Operating Expenses 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=operating-expenses&ticker=LNN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=LNN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();