STAG Industrial (STAG) Non Operating Interest Expenses (2010 - 2026)
STAG Industrial (STAG) reported Non Operating 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) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, STAG Industrial's Non Operating Interest Expenses came in at $139.39 million, up 10.2% year-over-year; for FY2025, it came in at $132.16 million, up 16.8% from FY2024.
- Non Operating Interest Expenses has increased for eight consecutive years, with a five-year compound annual growth rate of 16.2% (FY2020 to FY2025).
- By year, Non Operating Interest Expenses came in at $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 ranks as the highest quarterly Non Operating Interest Expenses in data going back to Q2 2010.
- Year over year, Non Operating Interest Expenses has now increased in each of the last 19 quarters, with growth averaging 17.1% over the last eight quarters.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q3 2022 (growth of 34.4%); the low point was Q3 2021 (a decline of 1.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $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) | Non Operating Interest Expenses (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 | - | - |
| 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 Non Operating 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=non-operating-interest-expenses&ticker=STAG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=STAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();