Ufp Industries (UFPI) Depreciation and Depletion (2011 - 2026)
Ufp Industries' Depreciation and Depletion came in at $38.28 million for Q2 2026, up 12.6% from $34 million a year earlier and up 9.1% from the prior quarter.
Ufp Industries (UFPI) Depreciation and Depletion (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Ufp Industries reported Depreciation and Depletion of $144.79 million, up 10.6% year-over-year; for FY2025, it was $138.36 million, up 11.0% from FY2024.
- Depreciation and Depletion has increased in each of the last 13 years, with a five-year compound annual growth rate of 16.7% (FY2020 to FY2025).
- Going back by year, Depreciation and Depletion was $124.64 million in FY2024 (+12.7%), $110.56 million in FY2023 (+17.5%), $94.06 million in FY2022 (+11.7%) and $84.18 million in FY2021 (+31.6%).
- The Q2 2026 figure represents the highest quarterly Depreciation and Depletion in data going back to Q1 2011.
- Year-over-year, Depreciation and Depletion has increased for 53 consecutive quarters, with growth averaging 10.6% over the last eight quarters.
- The year-over-year growth in Depreciation and Depletion has ranged between 6.2% (Q3 2022) and 47.2% (Q3 2021) over the last five years.
- Business Quant data shows UFPI's Depreciation and Depletion at $35.09 million (Q1 2026), $36.79 million (Q4 2025) and $34.63 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.06 Bn | 96.80 Bn | 2.26 Bn | - |
| 2 | Johnson Controls International | 94.64 Bn | 92.40 Bn | 2.47 Bn | 45.00 Mn |
| 3 | Comfort Systems Usa | 60.88 Bn | 56.13 Bn | 844.23 Mn | 20.04 Mn |
| 4 | Carrier Global | 45.43 Bn | 40.06 Bn | 1.94 Bn | - |
| 5 | Otis Worldwide | 24.39 Bn | 20.99 Bn | 1.14 Bn | - |
| 6 | James Hardie Industries | 14.50 Bn | 13.23 Bn | 548.70 Mn | 87.60 Mn |
| 7 | Masco | 13.48 Bn | 11.58 Bn | 868.00 Mn | - |
| 8 | Allegion | 13.12 Bn | 11.83 Bn | 517.50 Mn | - |
| 9 | Carlisle Companies | 13.11 Bn | 9.46 Bn | 568.40 Mn | 18.60 Mn |
| 10 | Ufp Industries | 4.26 Bn | 888.36 Mn | 290.24 Mn | 38.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 38.28 Mn |
| Mar 28, 2026 | 35.09 Mn |
| Dec 27, 2025 | 36.79 Mn |
| Sep 27, 2025 | 34.63 Mn |
| Jun 28, 2025 | 34.00 Mn |
| Mar 29, 2025 | 32.94 Mn |
| Dec 28, 2024 | 32.51 Mn |
| Sep 28, 2024 | 31.49 Mn |
| Jun 29, 2024 | 30.62 Mn |
| Mar 30, 2024 | 30.02 Mn |
| Dec 30, 2023 | 30.13 Mn |
| Sep 30, 2023 | 27.65 Mn |
| Jul 1, 2023 | 27.01 Mn |
| Apr 1, 2023 | 25.77 Mn |
| Dec 31, 2022 | 25.18 Mn |
| Sep 24, 2022 | 24.85 Mn |
| Jun 25, 2022 | 22.19 Mn |
| Mar 26, 2022 | 21.84 Mn |
| Dec 25, 2021 | 22.44 Mn |
| Sep 25, 2021 | 23.40 Mn |
Ufp Industries 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=UFPI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "UFPI", "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=UFPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();