Fortune Brands Innovations (FBIN) Restructuring Costs (2010 - 2026)
Fortune Brands Innovations (FBIN) reported Restructuring Costs of $8.1 million for Q2 2026, down 40.9% from $13.7 million a year earlier but up 88.4% from the prior quarter.
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Analysis
Fortune Brands Innovations (FBIN) Restructuring Costs (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, Fortune Brands Innovations' Restructuring Costs came in at $26.3 million, down 45.2% year-over-year; for FY2025, it came in at $52.4 million, up 223.5% from FY2024.
- Restructuring Costs has a five-year compound annual growth rate of 38.2% (FY2020 to FY2025).
- By year, Restructuring Costs came in at $16.2 million in FY2024 (-50.2%), $32.5 million in FY2023 (+0.3%), $32.4 million in FY2022 (+248.4%) and $9.3 million in FY2021 (-10.6%).
- Five-year quarterly Restructuring Costs spans a low of -$2.2 million in Q4 2021 and a high of $24.8 million in Q1 2025.
- Year over year, Restructuring Costs gained in five of the last eight quarters, with growth averaging 133.2%.
- The high point for year-over-year Restructuring Costs in five years was Q1 2025 (growth of 785.7%); the low point was Q1 2022 (a decline of 92.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.3 million (Q1 2026), $3.1 million (Q4 2025) and $10.8 million (Q3 2025).
Peer Set
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 | Fortune Brands Innovations | 4.59 Bn | 3.67 Bn | 590.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 8.10 Mn |
| Mar 28, 2026 | 4.30 Mn |
| Dec 27, 2025 | 3.10 Mn |
| Sep 27, 2025 | 10.80 Mn |
| Jun 28, 2025 | 13.70 Mn |
| Mar 29, 2025 | 24.80 Mn |
| Dec 28, 2024 | 2.10 Mn |
| Sep 28, 2024 | 7.40 Mn |
| Jun 29, 2024 | 3.90 Mn |
| Mar 30, 2024 | 2.80 Mn |
| Dec 30, 2023 | 3.60 Mn |
| Sep 30, 2023 | 3.70 Mn |
| Jul 1, 2023 | 22.20 Mn |
| Apr 1, 2023 | 3.10 Mn |
| Dec 31, 2022 | 10.20 Mn |
| Sep 30, 2022 | 20.60 Mn |
| Jun 30, 2022 | 1.00 Mn |
| Mar 31, 2022 | 600,000.00 |
| Dec 31, 2021 | -2.20 Mn |
| Sep 30, 2021 | 3.60 Mn |
API Access
Fortune Brands Innovations 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=FBIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "FBIN", "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=FBIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();