JELD-WEN Holding (JELD) Accumulated Expenses (2016 - 2026)
JELD-WEN Holding (JELD) posted Accumulated Expenses of $214.21 million for Q2 2026, down 3.4% from $221.82 million a year earlier and down 1.8% from the prior quarter.
JELD-WEN Holding (JELD) Accumulated Expenses (2016 - 2026) Analysis & Trends
At the end of FY2025, JELD-WEN Holding's Accumulated Expenses came in at $223.15 million, down 0.5% from FY2024.
- Annual Accumulated Expenses has declined for five consecutive years, with a five-year compound annual growth rate of -10.1% (FY2020 to FY2025).
- In prior years, JELD-WEN Holding's Accumulated Expenses was $224.21 million in FY2024 (-4.1%), $233.8 million in FY2023 (-5.7%), $247.9 million in FY2022 (-14.4%) and $289.68 million in FY2021 (-23.6%).
- The Q2 2026 figure stands as the lowest quarterly Accumulated Expenses since Q2 2018.
- On a year-over-year basis, Accumulated Expenses increased in 1 of the last eight quarters, with an average decline of 5.6%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q1 2026, with growth of 0.8%; the weakest was Q4 2021, with a decline of 23.6%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $218.25 million (Q1 2026), $223.15 million (Q4 2025) and $218.61 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 98.79 Bn | 93.53 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 86.60 Bn | 84.36 Bn | 2.47 Bn |
| 3 | Carrier Global | 46.55 Bn | 41.18 Bn | 1.94 Bn |
| 4 | Comfort Systems Usa | 44.62 Bn | 38.57 Bn | 934.48 Mn |
| 5 | Otis Worldwide | 28.78 Bn | 25.39 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 15.40 Bn | 14.47 Bn | 548.70 Mn |
| 7 | Masco | 15.39 Bn | 13.49 Bn | 868.00 Mn |
| 8 | Allegion | 15.00 Bn | 13.71 Bn | 517.50 Mn |
| 9 | Carlisle Companies | 14.05 Bn | 10.39 Bn | 568.40 Mn |
| 10 | JELD-WEN Holding | 122.12 Mn | -228.24 Mn | 137.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 214.21 Mn |
| Mar 28, 2026 | 218.25 Mn |
| Dec 31, 2025 | 223.15 Mn |
| Sep 27, 2025 | 218.61 Mn |
| Jun 28, 2025 | 221.82 Mn |
| Mar 29, 2025 | 216.49 Mn |
| Dec 31, 2024 | 224.21 Mn |
| Sep 28, 2024 | 253.13 Mn |
| Jun 29, 2024 | 243.37 Mn |
| Mar 30, 2024 | 252.25 Mn |
| Dec 31, 2023 | 233.80 Mn |
| Sep 30, 2023 | 255.29 Mn |
| Jul 1, 2023 | 242.60 Mn |
| Apr 1, 2023 | 294.52 Mn |
| Dec 31, 2022 | 247.90 Mn |
| Sep 24, 2022 | 319.65 Mn |
| Jun 25, 2022 | 290.10 Mn |
| Mar 26, 2022 | 302.97 Mn |
| Dec 31, 2021 | 289.68 Mn |
| Sep 25, 2021 | 365.85 Mn |
JELD-WEN Holding Accumulated 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=accumulated-expenses&ticker=JELD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=JELD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();