Tredegar (TG) Dividend Coverage Ratio (2010 - 2023)
Tredegar's Dividend Coverage Ratio came in at -11.92 for FY2023, compared with 1.68 in FY2022.
Analysis
Tredegar (TG) Dividend Coverage Ratio (2010 - 2023) Analysis & Trends
Going back to FY2009, Tredegar's Dividend Coverage Ratio data covers 15 years.
- The FY2023 figure represents the lowest annual Dividend Coverage Ratio in data going back to FY2009.
- Per Business Quant, earlier years put Dividend Coverage Ratio at 1.68 in FY2022 (-53.1%), 3.58 in FY2021, -0.35 in FY2020 and 3.15 in FY2019 (+85.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Div. Cover (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 5.16 |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 5.76 |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 3.15 |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | - |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | - |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | - |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 2.31 |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 2.33 |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 1.76 |
| 10 | Tredegar | 246.23 Mn | 193.42 Mn | 29.02 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | -4.24 |
| Mar 31, 2023 | -0.23 |
| Dec 31, 2022 | -0.87 |
| Sep 30, 2022 | 0.23 |
| Jun 30, 2022 | 3.65 |
| Mar 31, 2022 | 4.05 |
| Dec 31, 2021 | 5.27 |
| Sep 30, 2021 | 1.53 |
| Jun 30, 2021 | 5.25 |
| Mar 31, 2021 | 2.24 |
| Dec 31, 2020 | 0.00 |
| Sep 30, 2020 | -16.21 |
| Jun 30, 2020 | 2.79 |
| Mar 31, 2020 | -5.57 |
| Dec 31, 2019 | -0.78 |
| Sep 30, 2019 | 4.28 |
| Jun 30, 2019 | 3.95 |
| Mar 31, 2019 | 5.42 |
| Dec 31, 2018 | 7.17 |
| Sep 30, 2018 | -9.37 |
API Access
Tredegar Dividend Coverage Ratio 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=dividend-coverage-ratio&ticker=TG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividend-coverage-ratio", "ticker": "TG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=dividend-coverage-ratio&ticker=TG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();