Lindsay (LNN) Other Accumulated Expenses (2010 - 2026)
Lindsay (LNN) recorded Other Accumulated Expenses of $104.87 million in fiscal Q3 2026 (quarter ended May 31, 2026), up 1.8% from $103.01 million a year earlier but down 4.6% from the prior quarter.
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Analysis
Lindsay (LNN) Other Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Lindsay reported Other Accumulated Expenses of $94.69 million, up 7.4% from FY2024.
- Annual Other Accumulated Expenses has a five-year compound annual growth rate of 5.4% (FY2020 to FY2025).
- Across earlier fiscal years, Other Accumulated Expenses came in at $88.17 million in FY2024 (-3.7%), $91.6 million in FY2023 (-9.0%), $100.68 million in FY2022 (+8.5%) and $92.81 million in FY2021 (+27.8%).
- Quarterly Other Accumulated Expenses has ranged from $76.44 million in fiscal Q1 2025 to $109.91 million in fiscal Q2 2026 over the past five years.
- On a year-over-year basis, Other Accumulated Expenses has increased for six consecutive quarters, with growth averaging 7.5% over the last eight quarters.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 34.5% in fiscal Q1 2022, against a decline of 14.6% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $109.91 million (Q2 2026), $90.99 million (Q1 2026) and $94.69 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn |
| 10 | Lindsay | 1.16 Bn | 371.64 Mn | 47.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 104.87 Mn |
| Feb 28, 2026 | 109.91 Mn |
| Nov 30, 2025 | 90.99 Mn |
| Aug 31, 2025 | 94.69 Mn |
| May 31, 2025 | 103.01 Mn |
| Feb 28, 2025 | 87.04 Mn |
| Nov 30, 2024 | 76.44 Mn |
| Aug 31, 2024 | 88.17 Mn |
| May 31, 2024 | 88.45 Mn |
| Feb 29, 2024 | 81.15 Mn |
| Nov 30, 2023 | 89.50 Mn |
| Aug 31, 2023 | 91.60 Mn |
| May 31, 2023 | 90.62 Mn |
| Feb 28, 2023 | 79.57 Mn |
| Nov 30, 2022 | 89.83 Mn |
| Aug 31, 2022 | 100.68 Mn |
| May 31, 2022 | 101.24 Mn |
| Feb 28, 2022 | 86.84 Mn |
| Nov 30, 2021 | 88.66 Mn |
| Aug 31, 2021 | 92.81 Mn |
API Access
Lindsay Other Accumulated 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-accumulated-expenses&ticker=LNN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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-accumulated-expenses&ticker=LNN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();