International Seaways (INSW) Sales of Property, Plant and Equipment (2015 - 2026)
International Seaways' Sales of Property, Plant and Equipment came in at -$433,000 for Q2 2026, compared with $27.9 million a year earlier.
International Seaways (INSW) Sales of Property, Plant and Equipment (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, International Seaways reported Sales of Property, Plant and Equipment of $325.49 million, up 94.9% year-over-year; for FY2025, it came in at $246.26 million, up 242.5% from FY2024.
- Sales of Property, Plant and Equipment carries a five-year compound annual growth rate of 27.5% (FY2020 to FY2025).
- Going back by year, Sales of Property, Plant and Equipment was $71.9 million in FY2024 (+8.9%), $66 million in FY2023 (-33.4%), $99.16 million in FY2022 (-40.2%) and $165.81 million in FY2021 (+126.8%).
- The Q2 2026 figure represents the lowest quarterly Sales of Property, Plant and Equipment in data going back to Q4 2015.
- The fastest year-over-year change in Sales of Property, Plant and Equipment over five years came in Q3 2025 (growth of 179.6%), and the weakest in Q2 2023 (a decline of 99.9%).
- Business Quant data shows INSW's Sales of Property, Plant and Equipment at $222.83 million (Q1 2026), $36.36 million (Q4 2025) and $66.74 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | - |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | 73.00 Mn |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | 2.89 Mn |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | 15.00 Mn |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 116.00 Mn |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 24.00 Mn |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | - |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | 29.47 Mn |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | 24.00 Mn |
| 10 | International Seaways | 5.73 Bn | 5.73 Bn | - | -433,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -433,000.00 |
| Mar 31, 2026 | 222.83 Mn |
| Dec 31, 2025 | 36.36 Mn |
| Sep 30, 2025 | 66.74 Mn |
| Jun 30, 2025 | 27.90 Mn |
| Mar 31, 2025 | 115.26 Mn |
| Dec 31, 2024 | -20,000.00 |
| Sep 30, 2024 | 23.87 Mn |
| Jun 30, 2024 | 48.04 Mn |
| Dec 31, 2023 | 45.97 Mn |
| Sep 30, 2023 | -34,000.00 |
| Jun 30, 2023 | 49,000.00 |
| Mar 31, 2023 | 20.02 Mn |
| Dec 31, 2022 | 19.68 Mn |
| Sep 30, 2022 | -138,000.00 |
| Jun 30, 2022 | 55.36 Mn |
| Mar 31, 2022 | 24.26 Mn |
| Dec 31, 2021 | 52.30 Mn |
| Sep 30, 2021 | 110.08 Mn |
| Jun 30, 2021 | 3.44 Mn |
International Seaways Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=INSW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "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=sales-of-property-plant-and-equipment&ticker=INSW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();