International Seaways (INSW) Accumulated Depreciation (2015 - 2025)
International Seaways' Accumulated Depreciation came in at $500.53 million for Q4 2025, up 8.7% from $460.62 million a year earlier.
Analysis
International Seaways (INSW) Accumulated Depreciation (2015 - 2025) Analysis & Trends
Going back to Q4 2015, International Seaways' Accumulated Depreciation data covers 11 quarters.
- Accumulated Depreciation has increased in each of the last five years, with a five-year compound annual growth rate of 22.4% (FY2020 to FY2025).
- Going back by year, Accumulated Depreciation was $460.62 million in FY2024 (+9.1%), $422.28 million in FY2023 (+29.0%), $327.32 million in FY2022 (+33.8%) and $244.62 million in FY2021 (+34.3%).
- The Q4 2025 figure represents the highest quarterly Accumulated Depreciation in data going back to Q4 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn |
| 10 | International Seaways | 5.46 Bn | 5.46 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 500.53 Mn |
| Dec 31, 2024 | 460.62 Mn |
| Dec 31, 2023 | 422.28 Mn |
| Dec 31, 2022 | 327.32 Mn |
| Dec 31, 2021 | 244.62 Mn |
| Dec 31, 2020 | 182.15 Mn |
| Dec 31, 2019 | 361.09 Mn |
| Dec 31, 2018 | 301.89 Mn |
| Dec 31, 2017 | 302.09 Mn |
| Dec 31, 2016 | 381.45 Mn |
| Dec 31, 2015 | 404.96 Mn |
API Access
International Seaways Accumulated Depreciation 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=accumulated-depreciation&ticker=INSW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-depreciation", "ticker": "INSW", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-depreciation&ticker=INSW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();