Ati (ATI) Change in Taxes (2009 - 2019)
Ati (ATI) reported Change in Taxes of -$26.4 million for FY2025, compared with -$300,000 in FY2024.
Analysis
Ati (ATI) Change in Taxes (2009 - 2019) Analysis & Trends
Dating back to FY2009, Ati's Change in Taxes record includes 17 years.
- The FY2025 figure ranks as the lowest annual Change in Taxes since FY2014.
- According to Business Quant data, Change in Taxes came in at -$300,000 in FY2024, -$4.8 million in FY2023, $2.5 million in FY2022 and -$2.6 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | - |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | - |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | - |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | - |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | - |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | - |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | 1.00 Mn |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | -30.00 Mn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | - |
| 10 | Ppg Industries | 23.19 Bn | 15.99 Bn | 1.81 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 700,000.00 |
| Sep 30, 2019 | -1.20 Mn |
| Jun 30, 2019 | 4.90 Mn |
| Mar 31, 2019 | 500,000.00 |
| Dec 31, 2018 | -3.30 Mn |
| Sep 30, 2018 | 4.90 Mn |
| Jun 30, 2018 | -2.60 Mn |
| Mar 31, 2018 | 2.40 Mn |
| Dec 31, 2017 | 2.70 Mn |
| Sep 30, 2017 | -5.50 Mn |
| Jun 30, 2017 | 1.20 Mn |
| Mar 31, 2017 | -300,000.00 |
| Dec 31, 2016 | 1.60 Mn |
| Sep 30, 2016 | 7.60 Mn |
| Jun 30, 2016 | -4.20 Mn |
| Mar 31, 2016 | 4.30 Mn |
| Dec 31, 2015 | -5.20 Mn |
| Sep 30, 2015 | 800,000.00 |
| Jun 30, 2015 | -400,000.00 |
| Mar 31, 2015 | 60.60 Mn |
API Access
Ati Change in Taxes 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=change-in-taxes&ticker=ATI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "ticker": "ATI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-taxes&ticker=ATI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();