Kewaunee Scientific (KEQU) EBITDA (2010 - 2026)
Kewaunee Scientific's EBITDA was $4.75 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), down 25.3% from $6.36 million a year earlier and down 9.3% from the prior quarter.
Kewaunee Scientific (KEQU) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Kewaunee Scientific's EBITDA was $19.85 million through Jul 31, 2026, down 19.7% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $23.56 million, up 3.6% from FY2025.
- EBITDA has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 76.6% (FY2021 to FY2026).
- In earlier fiscal years, EBITDA was $22.74 million in FY2025 (+6.2%), $21.41 million in FY2024 (+160.1%), $8.23 million in FY2023 and $161,000 in FY2022 (-88.3%).
- Quarterly EBITDA has moved between -$2.19 million (fiscal Q2 2022) and $9.31 million (fiscal Q4 2025) over five years.
- Compared with a year earlier, EBITDA was higher in four of the last eight quarters, with growth averaging 6.8%.
- The best year-over-year quarter for EBITDA over five years was fiscal Q2 2024 (growth of 301.8%); the worst was fiscal Q4 2026 (a decline of 43.8%).
- Per Business Quant data, KEQU's EBITDA in the three fiscal quarters before Q1 2027 was $5.23 million (Q4 2026), $4.18 million (Q3 2026) and $5.69 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 1.33 Bn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | 1.15 Bn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | 601.28 Mn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | 1.14 Bn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | 617.00 Mn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | 386.50 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | - |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | 290.40 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | 401.20 Mn |
| 10 | Kewaunee Scientific | 99.73 Mn | 63.00 Mn | 19.64 Mn | 4.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 4.75 Mn |
| Apr 30, 2026 | 5.23 Mn |
| Jan 31, 2026 | 4.18 Mn |
| Oct 31, 2025 | 5.69 Mn |
| Jul 31, 2025 | 6.36 Mn |
| Apr 30, 2025 | 9.31 Mn |
| Jan 31, 2025 | 3.81 Mn |
| Oct 31, 2024 | 5.24 Mn |
| Jul 31, 2024 | 3.39 Mn |
| Apr 30, 2024 | 6.38 Mn |
| Jan 31, 2024 | 4.62 Mn |
| Oct 31, 2023 | 5.88 Mn |
| Jul 31, 2023 | 4.53 Mn |
| Apr 30, 2023 | 3.43 Mn |
| Jan 31, 2023 | 3.01 Mn |
| Oct 31, 2022 | 1.46 Mn |
| Jul 31, 2022 | 329,000.00 |
| Apr 30, 2022 | 2.92 Mn |
| Jan 31, 2022 | -172,000.00 |
| Oct 31, 2021 | -2.19 Mn |
Kewaunee Scientific 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=KEQU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=KEQU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();