Gibraltar Industries (ROCK) Asset Writedowns and Impairment (2009 - 2023)
Gibraltar Industries' Asset Writedowns and Impairment came in at $6 million for FY2024, up 87.5% from $3.2 million in FY2023.
Analysis
Gibraltar Industries (ROCK) Asset Writedowns and Impairment (2009 - 2023) Analysis & Trends
Going back to FY2009, Gibraltar Industries' Asset Writedowns and Impairment data covers 12 years.
- Asset Writedowns and Impairment carries a three-year compound annual growth rate of -10.3% (FY2021 to FY2024).
- The FY2024 figure represents the highest annual Asset Writedowns and Impairment since FY2021.
- Per Business Quant, earlier years put Asset Writedowns and Impairment at $3.2 million in FY2023 and $8.3 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 3 | Comfort Systems Usa | 60.88 Bn | 56.13 Bn | 844.23 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 |
| 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 |
| 10 | Gibraltar Industries | 1.38 Bn | 1.14 Bn | 132.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | -63,000.00 |
| Dec 31, 2022 | -1.43 Mn |
| Sep 30, 2022 | 229,000.00 |
| Mar 31, 2022 | 1.20 Mn |
| Dec 31, 2021 | 7.11 Mn |
| Mar 31, 2021 | 1.19 Mn |
| Dec 31, 2020 | -505,000.00 |
| Sep 30, 2020 | 159,000.00 |
| Jun 30, 2020 | 346,000.00 |
| Dec 31, 2019 | -479,000.00 |
| Sep 30, 2019 | 479,000.00 |
| Dec 31, 2014 | 107.97 Mn |
| Sep 30, 2013 | 23.16 Mn |
| Dec 31, 2010 | 77.14 Mn |
| Mar 31, 2010 | -177,000.00 |
| Dec 31, 2009 | 34.60 Mn |
API Access
Gibraltar Industries Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=ROCK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "ROCK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=asset-writedowns-and-impairment&ticker=ROCK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();