STAG Industrial (STAG) Selling, General & Administrative (2010 - 2026)
STAG Industrial's Selling, General & Administrative came in at $13.54 million for Q2 2026, up 5.0% from $12.9 million a year earlier but down 2.3% from the prior quarter.
STAG Industrial (STAG) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, STAG Industrial reported Selling, General & Administrative of $53.12 million, up 4.9% year-over-year; for FY2025, it was $51.93 million, up 5.6% from FY2024.
- Selling, General & Administrative has increased in each of the last three years, with a five-year compound annual growth rate of 5.3% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $49.2 million in FY2024 (+3.6%), $47.49 million in FY2023 (+1.1%), $46.96 million in FY2022 (-3.4%) and $48.63 million in FY2021 (+21.4%).
- The five-year range for quarterly Selling, General & Administrative is $10.59 million (Q4 2021) to $13.86 million (Q1 2026).
- Year-over-year, Selling, General & Administrative has increased for eight consecutive quarters, with growth averaging 5.8% over the last eight quarters.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q3 2021 (growth of 32.8%), and the weakest in Q3 2022 (a decline of 14.1%).
- Business Quant data shows STAG's Selling, General & Administrative at $13.86 million (Q1 2026), $13.55 million (Q4 2025) and $12.17 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | 67.49 Mn |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | 129.63 Mn |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | 54.30 Mn |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | 57.61 Mn |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | 44.37 Mn |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | 46.99 Mn |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | 47.32 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 15.43 Mn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | 16.64 Mn |
| 10 | STAG Industrial | 6.95 Bn | 7.02 Bn | - | 13.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.54 Mn |
| Mar 31, 2026 | 13.86 Mn |
| Dec 31, 2025 | 13.55 Mn |
| Sep 30, 2025 | 12.17 Mn |
| Jun 30, 2025 | 12.90 Mn |
| Mar 31, 2025 | 13.31 Mn |
| Dec 31, 2024 | 12.44 Mn |
| Sep 30, 2024 | 11.98 Mn |
| Jun 30, 2024 | 11.83 Mn |
| Mar 31, 2024 | 12.95 Mn |
| Dec 31, 2023 | 11.66 Mn |
| Sep 30, 2023 | 11.10 Mn |
| Jun 30, 2023 | 12.06 Mn |
| Mar 31, 2023 | 12.68 Mn |
| Dec 31, 2022 | 11.53 Mn |
| Sep 30, 2022 | 10.88 Mn |
| Jun 30, 2022 | 12.23 Mn |
| Mar 31, 2022 | 12.31 Mn |
| Dec 31, 2021 | 10.59 Mn |
| Sep 30, 2021 | 12.67 Mn |
STAG Industrial Selling, General & Administrative 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=selling-general-and-administrative&ticker=STAG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=STAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();