Modine Manufacturing (MOD) Total Liabilities (2011 - 2026)
Modine Manufacturing's Total Liabilities was $1.47 billion in fiscal Q4 2026 (quarter ended Mar 31, 2026), up 47.3% from $999.4 million a year earlier and up 8.8% from the prior quarter.
Modine Manufacturing (MOD) Total Liabilities (2011 - 2026) Analysis & Trends
From fiscal Q4 2011 onward, Modine Manufacturing has reported Total Liabilities for 61 quarters.
- Total Liabilities shows a five-year compound annual growth rate of 9.8% (FY2021 to FY2026).
- In earlier fiscal years, Total Liabilities was $999.4 million in FY2025 (-8.8%), $1.1 billion in FY2024 (+13.4%), $966.3 million in FY2023 (-0.3%) and $968.9 million in FY2022 (+5.2%).
- The fiscal Q4 2026 figure marks the highest quarterly Total Liabilities in data going back to fiscal Q4 2011.
- Compared with a year earlier, Total Liabilities has increased for four straight quarters, with growth averaging 18.4% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q4 2026 (growth of 47.3%); the worst was fiscal Q4 2025 (a decline of 8.8%).
- Per Business Quant data, MOD's Total Liabilities in the three fiscal quarters before Q4 2026 was $1.35 billion (Q3 2026), $1.32 billion (Q2 2026) and $1.21 billion (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 101.75 Bn | 96.47 Bn | 2.26 Bn | 15.28 Bn |
| 2 | Johnson Controls International | 89.59 Bn | 87.32 Bn | 2.47 Bn | 25.24 Bn |
| 3 | Comfort Systems Usa | 49.66 Bn | 44.92 Bn | 844.23 Mn | 5.27 Bn |
| 4 | Carrier Global | 46.08 Bn | 40.38 Bn | 1.94 Bn | 23.90 Bn |
| 5 | Otis Worldwide | 27.55 Bn | 23.97 Bn | 1.14 Bn | 16.90 Bn |
| 6 | James Hardie Industries | 15.34 Bn | 14.41 Bn | 548.70 Mn | 6.95 Bn |
| 7 | Masco | 14.93 Bn | 12.79 Bn | 868.00 Mn | 5.77 Bn |
| 8 | Carlisle Companies | 13.56 Bn | 9.90 Bn | 568.40 Mn | 4.62 Bn |
| 9 | Allegion | 13.41 Bn | 12.12 Bn | 517.50 Mn | 3.24 Bn |
| 10 | Modine Manufacturing | 7.90 Bn | 7.52 Bn | - | 1.47 Bn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.47 Bn |
| Dec 31, 2025 | 1.35 Bn |
| Sep 30, 2025 | 1.32 Bn |
| Jun 30, 2025 | 1.21 Bn |
| Mar 31, 2025 | 999.40 Mn |
| Dec 31, 2024 | 966.60 Mn |
| Sep 30, 2024 | 1.05 Bn |
| Jun 30, 2024 | 1.07 Bn |
| Mar 31, 2024 | 1.10 Bn |
| Dec 31, 2023 | 916.20 Mn |
| Sep 30, 2023 | 931.10 Mn |
| Jun 30, 2023 | 963.40 Mn |
| Mar 31, 2023 | 966.30 Mn |
| Dec 31, 2022 | 945.50 Mn |
| Sep 30, 2022 | 941.50 Mn |
| Jun 30, 2022 | 977.50 Mn |
| Mar 31, 2022 | 968.90 Mn |
| Dec 31, 2021 | 943.80 Mn |
| Sep 30, 2021 | 958.00 Mn |
| Jun 30, 2021 | 959.70 Mn |
Modine Manufacturing 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=MOD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "MOD", "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=MOD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();