Irsa Investments & Representations (IRS) Interest Expenses (2020 - 2025)
Irsa Investments & Representations (IRS) reported Interest Expenses of -$15 million for the quarter ended Sep 30, 2025.
Irsa Investments & Representations (IRS) Interest Expenses (2020 - 2025) Analysis & Trends
Over the twelve months ended Sep 30, 2025, Irsa Investments & Representations' Interest Expenses came in at -$77.62 billion; for the year ended Jun 30, 2025, it was -$45.35 billion.
- By year, Interest Expenses came in at -$68.38 billion in the year ended Jun 30, 2024, -$71.88 billion in the year ended Jun 30, 2023, -$73.63 billion in the year ended Jun 30, 2022 and -$25.8 billion in the year ended Jun 30, 2021.
- The figure for the quarter ended Sep 30, 2025 ranks as the highest quarterly Interest Expenses since the quarter ended Mar 31, 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | - |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 276.31 Mn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 272.33 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 312.08 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 84.78 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 160.03 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 209.93 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 82.46 Mn |
| 10 | Irsa Investments & Representations | 1.06 Bn | -203.50 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | -15.00 Mn |
| Dec 31, 2022 | -2.21 Bn |
| Sep 30, 2022 | -1.82 Bn |
| Jun 30, 2022 | -73.57 Bn |
| Mar 31, 2022 | 7.27 Bn |
| Dec 31, 2021 | -3.62 Bn |
| Sep 30, 2021 | -963.00 Mn |
| Dec 31, 2020 | -2.10 Bn |
| Sep 30, 2020 | -2.43 Bn |
Irsa Investments & Representations Interest Expenses 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=interest-expenses&ticker=IRS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "IRS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=IRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();