Modine Manufacturing (MOD) Restructuring Costs (2011 - 2025)
Modine Manufacturing (MOD) reported Restructuring Costs of $7.5 million for fiscal Q3 2026 (quarter ended Dec 31, 2025), down 9.6% from $8.3 million a year earlier but up 141.9% from the prior quarter.
Modine Manufacturing (MOD) Restructuring Costs (2011 - 2025) Analysis & Trends
Over the twelve months ended Dec 31, 2025, Modine Manufacturing's Restructuring Costs came in at $25.4 million, down 18.3% year-over-year; for FY2025 (ended Mar 31, 2025), it came in at $28.2 million, up 88.0% from FY2024.
- Restructuring Costs has a five-year compound annual growth rate of 18.2% (FY2020 to FY2025).
- By fiscal year, Restructuring Costs came in at $15 million in FY2024 (+200.0%), $5 million in FY2023 (-79.3%), $24.1 million in FY2022 (+79.9%) and $13.4 million in FY2021 (+9.8%).
- Five-year quarterly Restructuring Costs spans a low of $100,000 in fiscal Q3 2023 and a high of $21.1 million in fiscal Q4 2022.
- Year over year, Restructuring Costs has now declined in each of the last four quarters, with growth averaging 215.0% over the last seven quarters.
- The high point for year-over-year Restructuring Costs in five years was fiscal Q2 2025 (growth of 800.0%); the low point was fiscal Q3 2023 (a decline of 95.2%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $3.1 million (Q2 2026), $4.8 million (Q1 2026) and $10 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 90.21 Bn | 87.98 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 58.39 Bn | 53.64 Bn | 844.23 Mn |
| 4 | Carrier Global | 46.05 Bn | 40.68 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 25.26 Bn | 21.87 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 14.74 Bn | 13.47 Bn | 548.70 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn |
| 9 | Carlisle Companies | 12.99 Bn | 9.34 Bn | 568.40 Mn |
| 10 | Modine Manufacturing | 9.24 Bn | 8.87 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 7.50 Mn |
| Sep 30, 2025 | 3.10 Mn |
| Jun 30, 2025 | 4.80 Mn |
| Mar 31, 2025 | 10.00 Mn |
| Dec 31, 2024 | 8.30 Mn |
| Sep 30, 2024 | 4.50 Mn |
| Jun 30, 2024 | 5.40 Mn |
| Mar 31, 2024 | 12.90 Mn |
| Dec 31, 2023 | 1.60 Mn |
| Sep 30, 2023 | 500,000.00 |
| Mar 31, 2023 | 2.80 Mn |
| Dec 31, 2022 | 100,000.00 |
| Sep 30, 2022 | 600,000.00 |
| Jun 30, 2022 | 1.50 Mn |
| Mar 31, 2022 | 21.10 Mn |
| Dec 31, 2021 | 2.10 Mn |
| Sep 30, 2021 | 600,000.00 |
| Jun 30, 2021 | 300,000.00 |
| Mar 31, 2021 | 6.40 Mn |
| Dec 31, 2020 | 900,000.00 |
Modine Manufacturing Restructuring Costs 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=restructuring-costs&ticker=MOD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=MOD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();