Fortune Brands Innovations (FBIN) Depreciation and Depletion (2010 - 2026)
Fortune Brands Innovations (FBIN) recorded Depreciation and Depletion of $24 million in Q2 2026, down 24.3% from $31.7 million a year earlier but up 2.1% from the prior quarter.
Fortune Brands Innovations (FBIN) Depreciation and Depletion (2010 - 2026) Analysis & Trends
On a TTM basis, Fortune Brands Innovations' Depreciation and Depletion came in at $101.4 million as of Jun 27, 2026, down 15.6% year-over-year; for FY2025, it came in at $118.9 million, down 1.3% from FY2024.
- Annual Depreciation and Depletion has a five-year compound annual growth rate of -0.4% (FY2020 to FY2025).
- Across earlier years, Depreciation and Depletion came in at $120.5 million in FY2024 (+12.9%), $106.7 million in FY2023 (-15.7%), $126.5 million in FY2022 (+1.2%) and $125 million in FY2021 (+2.9%).
- Quarterly Depreciation and Depletion has ranged from $19.3 million in Q1 2023 to $39.2 million in Q4 2023 over the past five years.
- On a year-over-year basis, Depreciation and Depletion has declined for three consecutive quarters, with an average decline of 10.2% over the last eight quarters.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 71.8% in Q2 2024, against a decline of 37.5% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $23.5 million (Q1 2026), $24 million (Q4 2025) and $29.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | - |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | 45.00 Mn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | 20.04 Mn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | - |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | - |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | 87.60 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | - |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | - |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | 18.60 Mn |
| 10 | Fortune Brands Innovations | 4.54 Bn | 3.62 Bn | 590.70 Mn | 24.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 24.00 Mn |
| Mar 28, 2026 | 23.50 Mn |
| Dec 27, 2025 | 24.00 Mn |
| Sep 27, 2025 | 29.90 Mn |
| Jun 28, 2025 | 31.70 Mn |
| Mar 29, 2025 | 33.30 Mn |
| Dec 28, 2024 | 28.30 Mn |
| Sep 28, 2024 | 26.80 Mn |
| Jun 29, 2024 | 37.10 Mn |
| Mar 30, 2024 | 28.30 Mn |
| Dec 30, 2023 | 39.20 Mn |
| Sep 30, 2023 | 26.60 Mn |
| Jul 1, 2023 | 21.60 Mn |
| Apr 1, 2023 | 19.30 Mn |
| Dec 31, 2022 | 33.00 Mn |
| Sep 30, 2022 | 31.80 Mn |
| Jun 30, 2022 | 30.80 Mn |
| Mar 31, 2022 | 30.90 Mn |
| Dec 31, 2021 | 32.10 Mn |
| Sep 30, 2021 | 30.30 Mn |
Fortune Brands Innovations Depreciation and Depletion 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=depreciation-and-depletion&ticker=FBIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=FBIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();