Kewaunee Scientific (KEQU) Total Liabilities (2009 - 2026)
Kewaunee Scientific's Total Liabilities was $98.58 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), down 22.0% from $126.41 million a year earlier and down 2.9% from the prior quarter.
Kewaunee Scientific (KEQU) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Total Liabilities at Kewaunee Scientific came in at $101.5 million, down 22.0% from FY2025.
- Total Liabilities shows a five-year compound annual growth rate of 16.1% (FY2021 to FY2026).
- In earlier fiscal years, Total Liabilities was $130.2 million in FY2025 (+62.7%), $80.01 million in FY2024 (-1.8%), $81.49 million in FY2023 (-1.9%) and $83.08 million in FY2022 (+72.6%).
- The fiscal Q1 2027 figure marks the lowest quarterly Total Liabilities since fiscal Q2 2025.
- Compared with a year earlier, Total Liabilities has declined for three straight quarters, with growth averaging 21.8% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q1 2023 (growth of 81.0%); the worst was fiscal Q4 2026 (a decline of 22.0%).
- Per Business Quant data, KEQU's Total Liabilities in the three fiscal quarters before Q1 2027 was $101.5 million (Q4 2026), $103.43 million (Q3 2026) and $119.22 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 92.12 Bn | 86.76 Bn | 2.38 Bn | 14.76 Bn |
| 2 | Johnson Controls International | 85.49 Bn | 85.52 Bn | 2.71 Bn | - |
| 3 | Carrier Global | 43.38 Bn | 38.12 Bn | 1.90 Bn | 23.17 Bn |
| 4 | Comfort Systems Usa | 38.65 Bn | 32.60 Bn | 934.48 Mn | 6.47 Bn |
| 5 | Otis Worldwide | 29.75 Bn | 26.31 Bn | 1.16 Bn | 16.74 Bn |
| 6 | James Hardie Industries | 16.90 Bn | 16.08 Bn | 562.40 Mn | 6.67 Bn |
| 7 | Masco | 16.35 Bn | 14.41 Bn | 720.00 Mn | 5.79 Bn |
| 8 | Allegion | 15.98 Bn | 14.60 Bn | 548.20 Mn | 3.29 Bn |
| 9 | Carlisle Companies | 15.35 Bn | 12.26 Bn | 494.90 Mn | 4.59 Bn |
| 10 | Kewaunee Scientific | 97.30 Mn | 60.57 Mn | 19.64 Mn | 98.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 98.58 Mn |
| Apr 30, 2026 | 101.50 Mn |
| Jan 31, 2026 | 103.43 Mn |
| Oct 31, 2025 | 119.22 Mn |
| Jul 31, 2025 | 126.41 Mn |
| Apr 30, 2025 | 130.20 Mn |
| Jan 31, 2025 | 128.35 Mn |
| Oct 31, 2024 | 75.15 Mn |
| Jul 31, 2024 | 76.00 Mn |
| Apr 30, 2024 | 80.01 Mn |
| Jan 31, 2024 | 82.22 Mn |
| Oct 31, 2023 | 79.60 Mn |
| Jul 31, 2023 | 85.39 Mn |
| Apr 30, 2023 | 81.49 Mn |
| Jan 31, 2023 | 86.44 Mn |
| Oct 31, 2022 | 84.72 Mn |
| Jul 31, 2022 | 90.96 Mn |
| Apr 30, 2022 | 83.08 Mn |
| Jan 31, 2022 | 59.84 Mn |
| Oct 31, 2021 | 57.29 Mn |
Kewaunee Scientific Total Liabilities 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=total-liabilities&ticker=KEQU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=KEQU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();