STAG Industrial (STAG) Total Non-Current Liabilities (2010 - 2026)
STAG Industrial's Total Non-Current Liabilities was $3.71 billion in Q2 2026, up 14.1% from $3.25 billion a year earlier and up 7.3% from the prior quarter.
STAG Industrial (STAG) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at STAG Industrial came in at $3.48 billion, up 7.1% from FY2024.
- Total Non-Current Liabilities has now increased for 15 consecutive years, with a five-year compound annual growth rate of 13.1% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $3.25 billion in FY2024 (+16.3%), $2.79 billion in FY2023 (+4.0%), $2.69 billion in FY2022 (+11.8%) and $2.4 billion in FY2021 (+27.7%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q4 2010.
- Compared with a year earlier, Total Non-Current Liabilities has increased for 55 straight quarters, with growth averaging 11.1% over the last eight quarters.
- Across the past five years, year-over-year growth in Total Non-Current Liabilities ran from 0.1% in Q2 2023 to 27.7% in Q4 2021.
- Per Business Quant data, STAG's Total Non-Current Liabilities in the three quarters before Q2 2026 was $3.46 billion (Q1 2026), $3.48 billion (Q4 2025) and $3.34 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | - |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 38.97 Bn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 33.12 Bn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 33.49 Bn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | - |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | - |
| 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 | 17.65 Bn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 9.30 Bn |
| 10 | STAG Industrial | 6.91 Bn | 6.98 Bn | - | 3.71 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.71 Bn |
| Mar 31, 2026 | 3.46 Bn |
| Dec 31, 2025 | 3.48 Bn |
| Sep 30, 2025 | 3.34 Bn |
| Jun 30, 2025 | 3.25 Bn |
| Mar 31, 2025 | 3.24 Bn |
| Dec 31, 2024 | 3.25 Bn |
| Sep 30, 2024 | 3.15 Bn |
| Jun 30, 2024 | 2.98 Bn |
| Mar 31, 2024 | 2.83 Bn |
| Dec 31, 2023 | 2.79 Bn |
| Sep 30, 2023 | 2.74 Bn |
| Jun 30, 2023 | 2.62 Bn |
| Mar 31, 2023 | 2.64 Bn |
| Dec 31, 2022 | 2.69 Bn |
| Sep 30, 2022 | 2.66 Bn |
| Jun 30, 2022 | 2.62 Bn |
| Mar 31, 2022 | 2.47 Bn |
| Dec 31, 2021 | 2.40 Bn |
| Sep 30, 2021 | 2.16 Bn |
STAG Industrial Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=STAG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=STAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();