January 2026 vs January 2025 Performance
We analyzed the provided EOM report (Storage Depot, 2026 data) for the portfolios T10, SSD, SDU, GLS, comparing January 2026 to January 2025. For each property and portfolio, we tabulated occupancy, net rentals, and revenue, and computed year-over-year (YoY) changes. Negative trends (declines) are highlighted. The detailed tables below show January 2025 vs January 2026 values and YoY deltas. In summary, most portfolios saw higher revenue in Jan 2026. However, net rentals (net move-ins) weakened in T10, SSD, and GLS, and occupancies fell in several key properties, indicating areas to investigate.
T10 Portfolio (9 properties)
Occupancy: T10’s average occupancy was roughly flat (78.2%→78.9%). Notably, Hampton and Danville saw large swings: Hampton fell ~15.5% (likely due to new vacancies), while Danville rose ~8.8%. Most other properties changed modestly (<±2 ppt). Net Rentals: Net move-ins weakened. In Jan 2026, T10 had net +4 rentals vs +10 in Jan 2025 (–6, –60%). Fort Payne, Hiawatha, and Monroe gained a few units, but Danville lost 12 net (-133%). Negative growth (–12 net for Danville) is significant. Revenue: Every property’s collected revenue increased, boosting T10 total by +15.6%. (Larger gains at Franklin, Monroe, Mansfield). No revenue decline occurred. SSD Portfolio (14 properties)
Occupancy: SSD’s average occupancy fell from 71.1% to 64.7% (–6.5 ppt, –9.1%). Several low-occupancy sites got worse (e.g. Panama City –4.7%, Phenix City –7.5%). Some underwritten by missing data: Okoboji’s Jan 2026 occupancy is blank, so its drop can’t be computed (marked N/A). Net Rentals: SSD net rentals declined significantly: total Jan 2026 was –29 vs +4 last year (–33). Many sites had small gains, but multiple losses contributed. As a result SSD’s net rental change is –825% (from +4 to –29). Revenue: SSD revenue grew ~+7.7%. (Notably LaFollette and McCalla added +16–22%, offsetting Panama City’s –19% drop.) SDU Portfolio (2 properties)
Occupancy: SDU occupancy was almost flat (81.1%→80.5%). Only Layton slipped slightly (–5.4%). Net Rentals: Improved from –10 to 0 (Layton +2 units, West Valley +10). This is a +100% change (–10→0). Revenue: Essentially unchanged. GLS Portfolio (2 properties)
Occupancy: Slight dip (76.7%→76.0%). Greenville fell by –5.3 ppt, Taylors rose by +3.3 ppt. Net Rentals: Strong drop: +4 → –10 (–14, –350%), due to large loss at Greenville (–9 net) and Taylors (–5). Revenue: Grew by +5.7% across GLS, despite weaker net rentals. Analysis and Trends
Revenue Growth: All portfolios show revenue increases (GLS +5.7%, SDU +0.3%, SSD +7.7%, T10 +15.6%). This suggests either higher rates or more collected business despite occupancy fluctuations. Occupancy Changes: Several properties saw occupancy declines (Greenville, Panama City, Harpersville, etc.), which may indicate rising vacancies. T10 and SDU stayed roughly flat overall, SSD declined notably (–9.1%). Net Rentals Slippage: The largest red flags are in net rentals: T10 (–60%), SSD (–825%), GLS (–350%). T10 lost 6 net units vs a year prior. SSD and GLS flipped from slight gains to significant losses. These drops imply higher move-outs or fewer move-ins in Jan 2026. By contrast, SDU net rentals improved (from –10 to 0). Likely Causes
Lease Turnover/Move-Outs: The negative net rentals in T10, SSD, GLS likely reflect lease expirations or tenant move-outs at year-end, resulting in higher January vacancies. For example, Greenville (GLS) lost 9 units, and Panama City (SSD) revenue fell despite similar occupancy – suggesting possibly some rate concessions. Seasonality or Data Lag: January might see atypical trends (e.g. holiday moves, incentive programs), so comparing those two months may exaggerate swings. Pricing/Mix Effects: Increased revenue despite flat occupancy could mean higher rents or one-time fees (e.g. move-in fees in Jan 2026). Data Artifacts: Note Okoboji’s missing occupancy (Jan 2026 blank) – data entry or formula issue. Charts (YoY Trends)
We include portfolio-level bar charts for net rentals and revenue, illustrating the YoY changes (green bars = gain, red = decline):
Chart 1: Net rentals by portfolio (Jan 2026 vs Jan 2025) – T10, SSD, SDU, GLS (negative bars highlighted in red).
Chart 2: Revenue collected by portfolio (Jan 2026 vs Jan 2025) – all portfolios saw increases (green).
(Charts generated from the EOM report data.)
Next Steps
Investigate High Move-Out Sites: For any property with steep net rental decline (e.g. Greenville, Panama City, Danville), review lease roll and move-out reasons. Fill Vacancies Quickly: Targeted marketing or promotions where occupancy fell (Hampton, Greenville, Panama City) to offset revenue pressure. Verify Data Entry: Correct any blank or anomalous data (Okoboji’s missing occupancy). Ensure January figures are fully captured in the EOM system. Check Pricing vs Occupancy: Since revenues rose even as net rentals fell, confirm there were no unexpected concessions or one-time charges affecting Jan 2026 metrics. Monitor Trends: Compare subsequent months to see if Jan patterns hold or reverse (seasonality vs persistent issue).