STAG Industrial (STAG) Asset Writedowns and Impairment (2012 - 2025)
STAG Industrial's (STAG) quarterly Asset Writedowns and Impairment came in at $888000.0 in Q2 2025, down 82.12% year-over-year from $5.0 million in Q2 2024, and down 82.12% quarter-over-quarter from $5.0 million in Q2 2024.
STAG Industrial (STAG) Asset Writedowns and Impairment (2012 - 2025) Analysis & Trends
STAG Industrial has disclosed Asset Writedowns and Impairment across 11 years of filings, most recently posting $888000.0 for Q2 2025.
- In Q2 2025, Asset Writedowns and Impairment fell 82.12% year-over-year to $888000.0; the TTM figure through Jun 2026 stood at $888000.0 (down 84.83% YoY), while the FY2025 annual figure was $888000.0, down 82.12% from the prior year.
- Asset Writedowns and Impairment came in at $888000.0 for Q2 2025 at STAG Industrial, down from $5.0 million in the prior quarter.
- In the past five years, Asset Writedowns and Impairment ranged from a high of $5.0 million in Q2 2024 to a low of $888000.0 in Q2 2025.
- Average Asset Writedowns and Impairment over 3 years is $2.5 million, with a median of $1.8 million recorded in 2022.
- The largest YoY upside for Asset Writedowns and Impairment was 82.12% in 2025 against a maximum downside of 82.12% in 2025.
- Over 3 years, Asset Writedowns and Impairment stood at $1.8 million in 2022, then jumped by 178.58% to $5.0 million in 2024, then plunged by 82.12% to $888000.0 in 2025.
- Per Business Quant data, the three most recent Asset Writedowns and Impairment figures were $888000.0 in Q2 2025, $5.0 million in Q2 2024, and $1.8 million in Q3 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Prologis | 126.70 Bn | 131.10 Bn | 2.41 Bn |
| 2 | Eastgroup Properties | 10.89 Bn | 10.89 Bn | 193.10 Mn |
| 3 | Rexford Industrial Realty | 8.63 Bn | 8.99 Bn | - |
| 4 | Lineage | 8.55 Bn | 9.48 Bn | 425.00 Mn |
| 5 | STAG Industrial | 7.23 Bn | 7.31 Bn | - |
| 6 | Terreno Realty | 7.15 Bn | 7.15 Bn | - |
| 7 | Americold Realty Trust | 4.20 Bn | 4.20 Bn | 212.69 Mn |
| 8 | LXP Industrial Trust | 3.59 Bn | 3.60 Bn | 71.94 Mn |
| 9 | Innovative Industrial Properties | 1.55 Bn | 1.55 Bn | - |
| 10 | Industrial Logistics Properties Trust | 521.41 Mn | 900.92 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 888,000.00 |
| Jun 30, 2024 | 4.97 Mn |
| Sep 30, 2022 | 1.78 Mn |
| Dec 31, 2020 | 2.41 Mn |
| Sep 30, 2020 | 3.17 Mn |
| Sep 30, 2019 | 4.41 Mn |
| Mar 31, 2019 | 5.34 Mn |
| Dec 31, 2018 | 3.25 Mn |
| Mar 31, 2018 | 2.93 Mn |
| Dec 31, 2017 | 1.88 Mn |
| Dec 31, 2016 | 5.61 Mn |
| Jun 30, 2016 | 11.23 Mn |
| Dec 31, 2015 | 20.89 Mn |
| Sep 30, 2015 | 5.73 Mn |
| Jun 30, 2015 | 2.65 Mn |
| Dec 31, 2014 | 2.84 Mn |
| Sep 30, 2012 | 3.94 Mn |
| Jun 30, 2012 | 600,000.00 |
STAG Industrial Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=STAG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=STAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();