Modine Manufacturing (MOD) EBITDA (2011 - 2025)
Modine Manufacturing's EBITDA came in at $109.7 million for fiscal Q3 2026 (quarter ended Dec 31, 2025), up 39.4% from $78.7 million a year earlier and up 17.7% from the prior quarter.
Modine Manufacturing (MOD) EBITDA (2011 - 2025) Analysis & Trends
Over the trailing twelve months to Dec 31, 2025, Modine Manufacturing reported EBITDA of $391.3 million, up 18.8% year-over-year; for FY2025 (ended Mar 31, 2025), it was $361.2 million, up 21.7% from FY2024.
- EBITDA has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 25.7% (FY2020 to FY2025).
- Going back by fiscal year, EBITDA was $296.8 million in FY2024 (+44.9%), $204.9 million in FY2023 (+17.8%), $174 million in FY2022 and -$29.1 million in FY2021.
- The fiscal Q3 2026 figure represents the highest quarterly EBITDA in data going back to fiscal Q1 2012.
- Year-over-year, EBITDA increased in six of the last eight quarters, with growth averaging 16.3%.
- The fastest year-over-year change in EBITDA over five years came in fiscal Q2 2023 (growth of 112.7%), and the weakest in fiscal Q4 2021 (a decline of 99.6%).
- Business Quant data shows MOD's EBITDA at $93.2 million (Q2 2026), $94.7 million (Q1 2026) and $93.7 million (Q4 2025) in the three fiscal quarters before Q3 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 | 90.21 Bn | 87.98 Bn | 2.47 Bn | 1.15 Bn |
| 3 | Comfort Systems Usa | 58.39 Bn | 53.64 Bn | 844.23 Mn | 601.28 Mn |
| 4 | Carrier Global | 46.05 Bn | 40.68 Bn | 1.94 Bn | 1.14 Bn |
| 5 | Otis Worldwide | 25.26 Bn | 21.87 Bn | 1.14 Bn | 617.00 Mn |
| 6 | James Hardie Industries | 14.74 Bn | 13.47 Bn | 548.70 Mn | 386.50 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | - |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 290.40 Mn |
| 9 | Carlisle Companies | 12.99 Bn | 9.34 Bn | 568.40 Mn | 401.20 Mn |
| 10 | Modine Manufacturing | 9.24 Bn | 8.87 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 109.70 Mn |
| Sep 30, 2025 | 93.20 Mn |
| Jun 30, 2025 | 94.70 Mn |
| Mar 31, 2025 | 93.70 Mn |
| Dec 31, 2024 | 78.70 Mn |
| Sep 30, 2024 | 95.30 Mn |
| Jun 30, 2024 | 93.50 Mn |
| Mar 31, 2024 | 61.80 Mn |
| Dec 31, 2023 | 75.10 Mn |
| Sep 30, 2023 | 79.70 Mn |
| Jun 30, 2023 | 80.20 Mn |
| Mar 31, 2023 | 62.30 Mn |
| Dec 31, 2022 | 52.90 Mn |
| Sep 30, 2022 | 50.20 Mn |
| Jun 30, 2022 | 39.50 Mn |
| Mar 31, 2022 | 35.00 Mn |
| Dec 31, 2021 | 93.20 Mn |
| Sep 30, 2021 | 23.60 Mn |
| Jun 30, 2021 | 22.20 Mn |
| Mar 31, 2021 | 100,000.00 |
Modine Manufacturing 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=MOD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MOD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();