Digital Realty Trust (DLR) Restructuring Costs (2009 - 2026)
Digital Realty Trust's Restructuring Costs came in at $48.96 million for Q3 2026, down 43.4% from $86.56 million a year earlier but up 26.5% from the prior quarter.
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Analysis
Digital Realty Trust (DLR) Restructuring Costs (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Digital Realty Trust reported Restructuring Costs of $139.43 million, down 13.3% year-over-year; for FY2025, it came in at $185.09 million, up 97.1% from FY2024.
- Restructuring Costs has increased in each of the last four years, with a five-year compound annual growth rate of 11.7% (FY2020 to FY2025).
- Going back by year, Restructuring Costs was $93.9 million in FY2024 (+10.8%), $84.72 million in FY2023 (+23.2%), $68.77 million in FY2022 (+45.0%) and $47.43 million in FY2021 (-55.5%).
- The five-year range for quarterly Restructuring Costs is $11.8 million (Q4 2024) to $86.56 million (Q3 2025).
- Year-over-year, Restructuring Costs increased in four of the last eight quarters, with growth averaging 46.5%.
- The fastest year-over-year change in Restructuring Costs over five years came in Q3 2025 (growth of 257.8%), and the weakest in Q4 2024 (a decline of 70.7%).
- Business Quant data shows DLR's Restructuring Costs at $38.7 million (Q2 2026), $15.69 million (Q1 2026) and $36.08 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | American Tower | 86.72 Bn | 80.00 Bn | 2.75 Bn |
| 2 | Digital Realty Trust | 67.98 Bn | 59.43 Bn | - |
| 3 | Crown Castle | 37.11 Bn | 35.78 Bn | 982.00 Mn |
| 4 | Sba Communications | 19.86 Bn | 18.40 Bn | 542.40 Mn |
| 5 | Lamar Advertising | 16.11 Bn | 15.92 Bn | 422.53 Mn |
| 6 | OUTFRONT Media | 5.53 Bn | 5.27 Bn | 276.40 Mn |
| 7 | IHS Holding | 2.84 Bn | -723.51 Mn | 207.10 Mn |
| 8 | Array Digital Infrastructure | 2.59 Bn | 1.48 Bn | 30.57 Mn |
| 9 | Clear Channel Outdoor Holdings | 1.23 Bn | 518.82 Mn | 241.86 Mn |
| 10 | Fermi | 1.03 Bn | 171.55 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 48.96 Mn |
| Jun 30, 2026 | 38.70 Mn |
| Mar 31, 2026 | 15.69 Mn |
| Dec 31, 2025 | 36.08 Mn |
| Sep 30, 2025 | 86.56 Mn |
| Jun 30, 2025 | 22.55 Mn |
| Mar 31, 2025 | 39.90 Mn |
| Dec 31, 2024 | 11.80 Mn |
| Sep 30, 2024 | 24.19 Mn |
| Jun 30, 2024 | 26.07 Mn |
| Mar 31, 2024 | 31.84 Mn |
| Dec 31, 2023 | 40.23 Mn |
| Sep 30, 2023 | 14.47 Mn |
| Jun 30, 2023 | 17.76 Mn |
| Mar 31, 2023 | 12.27 Mn |
| Dec 31, 2022 | 17.35 Mn |
| Sep 30, 2022 | 25.86 Mn |
| Jun 30, 2022 | 13.59 Mn |
| Mar 31, 2022 | 11.97 Mn |
| Dec 31, 2021 | 12.43 Mn |
API Access
Digital Realty Trust Restructuring Costs 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=restructuring-costs&ticker=DLR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "DLR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=restructuring-costs&ticker=DLR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();