Kewaunee Scientific (KEQU) Operating Expenses (2010 - 2026)
Kewaunee Scientific (KEQU) recorded Operating Expenses of $16.48 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 2.2% from $16.12 million a year earlier and up 2.8% from the prior quarter.
Kewaunee Scientific (KEQU) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Kewaunee Scientific's Operating Expenses came in at $64.09 million as of Jul 31, 2026, up 11.8% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $63.73 million, up 24.7% from FY2025.
- Annual Operating Expenses has increased for five straight fiscal years, with a five-year compound annual growth rate of 20.3% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Expenses came in at $51.1 million in FY2025 (+51.3%), $33.77 million in FY2024 (+11.7%), $30.22 million in FY2023 (+12.7%) and $26.83 million in FY2022 (+6.0%).
- The fiscal Q1 2027 figure is the highest quarterly Operating Expenses in data going back to fiscal Q1 2011.
- On a year-over-year basis, Operating Expenses rose in seven of the last eight quarters, with growth averaging 39.0%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 96.1% in fiscal Q3 2025, against a decline of 2.6% in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $16.03 million (Q4 2026), $15.96 million (Q3 2026) and $15.61 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 100.25 Bn | 94.99 Bn | 2.26 Bn | 1.04 Bn |
| 2 | Johnson Controls International | 90.55 Bn | 88.31 Bn | 2.47 Bn | 1.49 Bn |
| 3 | Comfort Systems Usa | 58.58 Bn | 53.83 Bn | 844.23 Mn | 287.05 Mn |
| 4 | Carrier Global | 45.65 Bn | 40.28 Bn | 1.94 Bn | 5.58 Bn |
| 5 | Otis Worldwide | 24.99 Bn | 21.59 Bn | 1.14 Bn | 3.28 Bn |
| 6 | James Hardie Industries | 14.56 Bn | 13.29 Bn | 548.70 Mn | 327.40 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | 397.00 Mn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 262.80 Mn |
| 9 | Carlisle Companies | 12.96 Bn | 9.31 Bn | 568.40 Mn | 210.70 Mn |
| 10 | Kewaunee Scientific | 99.44 Mn | 62.72 Mn | 19.64 Mn | 16.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 16.48 Mn |
| Apr 30, 2026 | 16.03 Mn |
| Jan 31, 2026 | 15.96 Mn |
| Oct 31, 2025 | 15.61 Mn |
| Jul 31, 2025 | 16.12 Mn |
| Apr 30, 2025 | 15.54 Mn |
| Jan 31, 2025 | 16.13 Mn |
| Oct 31, 2024 | 9.52 Mn |
| Jul 31, 2024 | 9.91 Mn |
| Apr 30, 2024 | 9.08 Mn |
| Jan 31, 2024 | 8.22 Mn |
| Oct 31, 2023 | 8.36 Mn |
| Jul 31, 2023 | 8.11 Mn |
| Apr 30, 2023 | 7.66 Mn |
| Jan 31, 2023 | 8.03 Mn |
| Oct 31, 2022 | 7.95 Mn |
| Jul 31, 2022 | 6.59 Mn |
| Apr 30, 2022 | 7.09 Mn |
| Jan 31, 2022 | 6.49 Mn |
| Oct 31, 2021 | 6.49 Mn |
Kewaunee Scientific 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=KEQU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "KEQU", "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=KEQU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();