Gates Industrial (GTES) Asset Writedowns and Impairment (2019 - 2025)
Gates Industrial (GTES) posted Asset Writedowns and Impairment of $2.3 million for Q4 2025, up 475.0% from the prior quarter.
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Analysis
Gates Industrial (GTES) Asset Writedowns and Impairment (2019 - 2025) Analysis & Trends
For FY2025, Gates Industrial's Asset Writedowns and Impairment came in at $3.5 million.
- Annual Asset Writedowns and Impairment shows a four-year compound annual growth rate of 15.0% (FY2021 to FY2025).
- In prior years, Gates Industrial's Asset Writedowns and Impairment was $100,000 in FY2023 (-96.2%), $2.6 million in FY2022 (+30.0%) and $2 million in FY2021.
- The Q4 2025 figure stands as the highest quarterly Asset Writedowns and Impairment in data going back to Q3 2019.
- According to Business Quant data, Asset Writedowns and Impairment for the three prior quarters was $400,000 (Q3 2025), $200,000 (Q2 2025) and $600,000 (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn |
| 10 | Gates Industrial | 6.99 Bn | 4.26 Bn | 386.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 2.30 Mn |
| Sep 27, 2025 | 400,000.00 |
| Jun 28, 2025 | 200,000.00 |
| Mar 29, 2025 | 600,000.00 |
| Sep 30, 2023 | 100,000.00 |
| Dec 31, 2022 | 1.20 Mn |
| Oct 1, 2022 | 500,000.00 |
| Jan 1, 2022 | -4.50 Mn |
| Sep 26, 2020 | 1.40 Mn |
| Dec 28, 2019 | 1.20 Mn |
| Sep 28, 2019 | 400,000.00 |
API Access
Gates Industrial 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=GTES&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "GTES", "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=GTES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();