Lindsay (LNN) Other Operating Expenses (2010 - 2026)
Lindsay (LNN) recorded Other Operating Expenses of $10.32 million in fiscal Q3 2026 (quarter ended May 31, 2026), up 1.0% from $10.22 million a year earlier but down 1.9% from the prior quarter.
Lindsay (LNN) Other Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Lindsay's Other Operating Expenses came in at $42.32 million as of May 31, 2026, up 0.1% year-over-year; for FY2025 (ended Aug 31, 2025), it came in at $41.74 million, up 4.6% from FY2024.
- Annual Other Operating Expenses has increased for four straight fiscal years, with a five-year compound annual growth rate of 5.8% (FY2020 to FY2025).
- Across earlier fiscal years, Other Operating Expenses came in at $39.91 million in FY2024 (+10.2%), $36.2 million in FY2023 (+6.7%), $33.92 million in FY2022 (+10.1%) and $30.82 million in FY2021 (-2.0%).
- Quarterly Other Operating Expenses has ranged from $7.93 million in fiscal Q2 2022 to $11.02 million in fiscal Q1 2026 over the past five years.
- On a year-over-year basis, Other Operating Expenses rose in six of the last eight quarters, with growth averaging 5.8%.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 21.1% in fiscal Q1 2023, against a decline of 12.9% in fiscal Q4 2021 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $10.52 million (Q2 2026), $11.02 million (Q1 2026) and $10.46 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn |
| 10 | Lindsay | 1.14 Bn | 346.42 Mn | 47.83 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 10.32 Mn |
| Feb 28, 2026 | 10.52 Mn |
| Nov 30, 2025 | 11.02 Mn |
| Aug 31, 2025 | 10.46 Mn |
| May 31, 2025 | 10.22 Mn |
| Feb 28, 2025 | 10.85 Mn |
| Nov 30, 2024 | 10.21 Mn |
| Aug 31, 2024 | 11.01 Mn |
| May 31, 2024 | 9.58 Mn |
| Feb 29, 2024 | 9.50 Mn |
| Nov 30, 2023 | 9.82 Mn |
| Aug 31, 2023 | 9.11 Mn |
| May 31, 2023 | 8.68 Mn |
| Feb 28, 2023 | 8.73 Mn |
| Nov 30, 2022 | 9.68 Mn |
| Aug 31, 2022 | 9.85 Mn |
| May 31, 2022 | 8.15 Mn |
| Feb 28, 2022 | 7.93 Mn |
| Nov 30, 2021 | 7.99 Mn |
| Aug 31, 2021 | 8.14 Mn |
Lindsay Other 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=other-operating-expenses&ticker=LNN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=LNN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();