STAG Industrial (STAG) Interest Expenses (2010 - 2026)
STAG Industrial (STAG) posted Interest Expenses of $37.5 million for Q2 2026, up 11.5% from $33.62 million a year earlier and up 4.5% from the prior quarter.
STAG Industrial (STAG) Interest Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Interest Expenses at STAG Industrial was $139.39 million, up 10.2% year-over-year; for FY2025, it was $132.16 million, up 16.8% from FY2024.
- Annual Interest Expenses has increased for eight consecutive years, with a five-year compound annual growth rate of 16.2% (FY2020 to FY2025).
- In prior years, STAG Industrial's Interest Expenses was $113.17 million in FY2024 (+19.7%), $94.58 million in FY2023 (+21.2%), $78.02 million in FY2022 (+22.9%) and $63.48 million in FY2021 (+1.8%).
- The Q2 2026 figure stands as the highest quarterly Interest Expenses in data going back to Q2 2010.
- On a year-over-year basis, Interest Expenses has increased in each of the last 19 quarters, with growth averaging 17.1% over the last eight quarters.
- The strongest year-over-year quarter for Interest Expenses in the past five years was Q3 2022, with growth of 34.4%; the weakest was Q3 2021, with a decline of 1.1%.
- According to Business Quant data, Interest Expenses for the three prior quarters was $35.89 million (Q1 2026), $34.34 million (Q4 2025) and $31.67 million (Q3 2025).
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 | STAG Industrial | 6.91 Bn | 6.98 Bn | - | 37.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.50 Mn |
| Mar 31, 2026 | 35.89 Mn |
| Dec 31, 2025 | 34.34 Mn |
| Sep 30, 2025 | 31.67 Mn |
| Jun 30, 2025 | 33.62 Mn |
| Mar 31, 2025 | 32.53 Mn |
| Dec 31, 2024 | 31.67 Mn |
| Sep 30, 2024 | 28.71 Mn |
| Jun 30, 2024 | 27.37 Mn |
| Mar 31, 2024 | 25.42 Mn |
| Dec 31, 2023 | 25.35 Mn |
| Sep 30, 2023 | 23.75 Mn |
| Jun 30, 2023 | 22.86 Mn |
| Mar 31, 2023 | 22.61 Mn |
| Dec 31, 2022 | 21.71 Mn |
| Sep 30, 2022 | 21.16 Mn |
| Jun 30, 2022 | 17.90 Mn |
| Mar 31, 2022 | 17.26 Mn |
| Dec 31, 2021 | 17.11 Mn |
| Sep 30, 2021 | 15.75 Mn |
STAG Industrial 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=STAG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "STAG", "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=STAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();