JELD-WEN Holding (JELD) Operating Expenses (2016 - 2026)
JELD-WEN Holding (JELD) recorded Operating Expenses of $142.39 million in Q2 2026, down 9.5% from $157.32 million a year earlier and down 3.8% from the prior quarter.
JELD-WEN Holding (JELD) Operating Expenses (2016 - 2026) Analysis & Trends
On a TTM basis, JELD-WEN Holding's Operating Expenses came in at $569.31 million as of Jun 27, 2026, down 12.6% year-over-year; for FY2025, it was $595.62 million, down 17.3% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of -3.5% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $720.62 million in FY2024 (+4.3%), $691.02 million in FY2023 (+2.9%), $671.7 million in FY2022 (+10.6%) and $607.07 million in FY2021 (-14.9%).
- Quarterly Operating Expenses has ranged from $50.4 million in Q4 2021 to $200.86 million in Q1 2024 over the past five years.
- On a year-over-year basis, Operating Expenses has declined for eight consecutive quarters, with an average decline of 12.4% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 252.5% in Q4 2022, against a decline of 72.3% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $147.94 million (Q1 2026), $132.45 million (Q4 2025) and $146.54 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 101.66 Bn | 96.38 Bn | 2.26 Bn | 1.04 Bn |
| 2 | Johnson Controls International | 89.87 Bn | 87.60 Bn | 2.47 Bn | 1.49 Bn |
| 3 | Comfort Systems Usa | 49.13 Bn | 44.38 Bn | 844.23 Mn | 287.05 Mn |
| 4 | Carrier Global | 46.20 Bn | 40.51 Bn | 1.94 Bn | 5.58 Bn |
| 5 | Otis Worldwide | 27.52 Bn | 23.94 Bn | 1.14 Bn | 3.28 Bn |
| 6 | James Hardie Industries | 15.24 Bn | 14.30 Bn | 548.70 Mn | 327.40 Mn |
| 7 | Masco | 14.86 Bn | 12.72 Bn | 868.00 Mn | 397.00 Mn |
| 8 | Carlisle Companies | 13.54 Bn | 9.88 Bn | 568.40 Mn | 210.70 Mn |
| 9 | Allegion | 13.37 Bn | 12.08 Bn | 517.50 Mn | 262.80 Mn |
| 10 | JELD-WEN Holding | 110.14 Mn | -240.22 Mn | 137.29 Mn | 142.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 142.39 Mn |
| Mar 28, 2026 | 147.94 Mn |
| Dec 31, 2025 | 132.45 Mn |
| Sep 27, 2025 | 146.54 Mn |
| Jun 28, 2025 | 157.32 Mn |
| Mar 29, 2025 | 159.31 Mn |
| Dec 31, 2024 | 166.03 Mn |
| Sep 28, 2024 | 168.83 Mn |
| Jun 29, 2024 | 184.90 Mn |
| Mar 30, 2024 | 200.86 Mn |
| Dec 31, 2023 | 184.19 Mn |
| Sep 30, 2023 | 175.52 Mn |
| Jul 1, 2023 | 169.29 Mn |
| Apr 1, 2023 | 162.03 Mn |
| Dec 31, 2022 | 177.65 Mn |
| Sep 24, 2022 | 168.76 Mn |
| Jun 25, 2022 | 157.69 Mn |
| Mar 26, 2022 | 193.00 Mn |
| Dec 31, 2021 | 50.40 Mn |
| Sep 25, 2021 | 174.35 Mn |
JELD-WEN Holding 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=JELD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "JELD", "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=JELD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();