Builders FirstSource (BLDR) Operating Expenses (2010 - 2026)
Builders FirstSource (BLDR) reported Operating Expenses of $958.28 million for Q2 2026, down 3.0% from $987.75 million a year earlier but up 5.0% from the prior quarter.
Builders FirstSource (BLDR) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Builders FirstSource's Operating Expenses came in at $3.78 billion, down 0.7% year-over-year; for FY2025, it was $3.83 billion, up 1.1% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 17.9% (FY2020 to FY2025).
- By year, Operating Expenses came in at $3.79 billion in FY2024 (-1.3%), $3.84 billion in FY2023 (-3.5%), $3.97 billion in FY2022 (+14.7%) and $3.46 billion in FY2021 (+106.3%).
- Five-year quarterly Operating Expenses spans a low of $864.01 million in Q4 2021 and a high of $1.05 billion in Q2 2022.
- Year over year, Operating Expenses gained in five of the last eight quarters, with an average decline of 0.4%.
- The high point for year-over-year Operating Expenses in five years was Q3 2021 (growth of 103.1%); the low point was Q1 2023 (a decline of 6.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $912.45 million (Q1 2026), $940.23 million (Q4 2025) and $970.72 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 101.77 Bn | 96.49 Bn | 2.26 Bn | 1.04 Bn |
| 2 | Johnson Controls International | 89.79 Bn | 87.52 Bn | 2.47 Bn | 1.49 Bn |
| 3 | Comfort Systems Usa | 49.37 Bn | 44.62 Bn | 844.23 Mn | 287.05 Mn |
| 4 | Carrier Global | 46.49 Bn | 40.80 Bn | 1.94 Bn | 5.58 Bn |
| 5 | Otis Worldwide | 27.54 Bn | 23.96 Bn | 1.14 Bn | 3.28 Bn |
| 6 | James Hardie Industries | 15.37 Bn | 14.44 Bn | 548.70 Mn | 327.40 Mn |
| 7 | Masco | 14.88 Bn | 12.74 Bn | 868.00 Mn | 397.00 Mn |
| 8 | Carlisle Companies | 13.65 Bn | 9.99 Bn | 568.40 Mn | 210.70 Mn |
| 9 | Allegion | 13.45 Bn | 12.16 Bn | 517.50 Mn | 262.80 Mn |
| 10 | Builders FirstSource | 5.80 Bn | 5.16 Bn | 1.09 Bn | 958.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 958.28 Mn |
| Mar 31, 2026 | 912.45 Mn |
| Dec 31, 2025 | 940.23 Mn |
| Sep 30, 2025 | 970.72 Mn |
| Jun 30, 2025 | 987.75 Mn |
| Mar 31, 2025 | 930.80 Mn |
| Dec 31, 2024 | 930.03 Mn |
| Sep 30, 2024 | 958.31 Mn |
| Jun 30, 2024 | 973.20 Mn |
| Mar 31, 2024 | 926.26 Mn |
| Dec 31, 2023 | 974.45 Mn |
| Sep 30, 2023 | 939.47 Mn |
| Jun 30, 2023 | 1.02 Bn |
| Mar 31, 2023 | 904.22 Mn |
| Dec 31, 2022 | 959.12 Mn |
| Sep 30, 2022 | 1.00 Bn |
| Jun 30, 2022 | 1.05 Bn |
| Mar 31, 2022 | 968.57 Mn |
| Dec 31, 2021 | 864.01 Mn |
| Sep 30, 2021 | 875.01 Mn |
Builders FirstSource Operating Expenses 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=operating-expenses&ticker=BLDR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BLDR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=BLDR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();