TE Connectivity (TEL) Asset Writedowns and Impairment (2009 - 2023)
TE Connectivity's Asset Writedowns and Impairment was $7 million in fiscal Q4 2023 (quarter ended Sep 29, 2023).
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Analysis
TE Connectivity (TEL) Asset Writedowns and Impairment (2009 - 2023) Analysis & Trends
For FY2023 (ended Sep 29, 2023), Asset Writedowns and Impairment at TE Connectivity came in at $74 million, up 428.6% from FY2022.
- Asset Writedowns and Impairment shows a three-year compound annual growth rate of -56.5% (FY2020 to FY2023).
- In earlier fiscal years, Asset Writedowns and Impairment was $14 million in FY2022 (-12.5%), $16 million in FY2021 (-98.2%) and $900 million in FY2020.
- The fiscal Q4 2023 figure marks the highest quarterly Asset Writedowns and Impairment since fiscal Q2 2020.
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 | TE Connectivity | 63.79 Bn | 59.08 Bn | 1.84 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 29, 2023 | 7.00 Mn |
| Mar 27, 2020 | 900.00 Mn |
| Mar 27, 2009 | 3.55 Bn |
API Access
TE Connectivity 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=TEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "TEL", "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=TEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();