Skip to content

260211 Storage Depot Meeting Notes

View 8 of Agenda 2
Search
Done
Topic
Notes
Date
Added by
West Valley homeless issue, sealing vacant units, do we need motion sirens, cameras are being damaged, night light audit
Wed, Aug 13
Pics of West Valley Office; having property rekeyed
Wed, Aug 13
Unrentable, pics of units
Wed, Aug 13
Hampton Lender Obligations, asphalt, metal grates and roofing which is done, sent email to Cohen for more info
Wed, Aug 13
Look into unit mix at Taylors, occupancy down unit occupancy flat
@Ernest Gomez
Wed, Aug 13
🔴 Tier 1 – Highest Financial Impact (Largest NOI Gaps)
Wed, Sep 24
Griffin, GA (SSD): Severe Q3 occupancy loss (-31 units). NOI drag from high delinquency write-offs + vacancy.
Wed, Sep 24
Greenville, SC (GLS): NOI miss from occupancy losses (net -13 units Q3), revenue below budget, expenses slightly elevated.
Wed, Sep 24
SSD Portfolio Low Occupancy Sites (collectively): Harpersville, Thomson, Monteagle – while smaller individually, combined drag on SSD’s NOI (largest portfolio shortfall).
Wed, Sep 24
🟠 Tier 2 – Moderate Impact, Needs Focus
Wed, Sep 24
Hampton, GA (TSP): Occupancy dropped YoY, net -6 in Q3. NOI below plan despite TSP portfolio gains elsewhere.
Wed, Sep 24
Elizabethton, TN (SSD): Q3 net -11 units due to seasonal/student churn; revenue dip in short term.
Wed, Sep 24
Panama City, FL (SSD): Occupancy improved YoY but flat in Q3, leaving revenue short of budget.
Wed, Sep 24
🟡 Tier 3 – Lower Impact but Watch List
Wed, Sep 24
Danville, IL (TSP): Occupancy stagnant ~70%; NOI underwhelming. Smaller revenue site, but opportunity cost if not improved.
Wed, Sep 24
Monteagle, TN (SSD): Flat occupancy ~60%, NOI lagging. Small site, so limited financial impact, but symbolic of execution issues.
Wed, Sep 24
There are no rows in this table

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)

Table 43
Property
Occ Jan 2025 (%)
Occ Jan 2026 (%)
Δ Occ (ppt)
Δ Occ (%)
NetRent Jan 2025
NetRent Jan 2026
Δ
Δ (%)
Revenue Jan 2025
Revenue Jan 2026
Δ 11
Δ (%) 12
Albertville
64.6%
64%
–0.6
–0.93
–2
+1
+3
+150%
14,107
16,421
+2,314
+16.4%
Danville
78.1%
85%
+6.9
+8.8
+9
–3
–12
–133%
25,263
29,023
+3,760
+14.9%
Fort Payne
75%
84%
+9.0
+12.0
–3
+8
+11
+367%
12,753
16,351
+3,598
+28.2%
Franklin
89.6%
88%
–1.6
–1.8
+7
–3
–10
–143%
15,401
19,173
+3,772
+24.5%
Hampton
87.6%
74%
–13.6
–15.5
–1
–1
0
0.0%
17,329
15,703
–1,626
–9.4%
Hiawatha
90.5%
86%
–4.5
–5.0
–2
+7
+9
+450%
11,260
12,282
+1,022
+9.1%
Monroe
65.3%
66%
+0.7
+1.1
+1
+3
+2
+200%
8,970
14,615
+5,645
+62.9%
Mansfield
69%
77%
+8.0
+11.6
0
0
0
0.0%
6,624
12,534
+5,910
+89.2%
Yorkville
84.4%
86%
+1.6
+1.9
+1
+1
0
0.0%
3,007
3,536
+529
+17.6%
T10 Total
78.2%
78.9%
+0.7
+0.8
+10
+4
–6
–60.0%
129,735
149,955
+20,220
+15.6%
There are no rows in this table
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)

Table 44
Property
Occ Jan 2025 (%)
Occ Jan 2026 (%)
Δ Occ (ppt)
Δ Occ (%)
NetRent Jan 2025
NetRent Jan 2026
Δ
Δ (%)
Revenue Jan 2025
Revenue Jan 2026
Δ 11
Δ (%) 12
Boyle
68.1%
77.0%
+8.9
+13.0
0
–8
–8
–100%
23,655
26,443
+2,788
+11.8%
Cahaba
78.3%
75.0%
–3.3
–4.2
0
+4
+4
25,107
29,529
+4,422
+17.6%
Cleveland
86.7%
81.0%
–5.7
–6.6
7
+13
+6
+85.7%
23,015
25,295
+2,280
+9.9%
Elizabethton
65.7%
67.0%
+1.3
+2.0
4
+4
0
0.0%
22,420
25,993
+3,573
+15.9%
Griffin
54.3%
57.0%
+2.7
+5.0
2
+7
+5
+250%
24,080
24,431
+351
+1.5%
Harpersville
56.5%
58.0%
+1.5
+2.7
2
+2
0
0.0%
11,016
9,812
–1,204
–10.9%
LaFollette
91%
77.0%
–14.0
–15.4
3
+11
+8
+266.7%
27,025
31,364
+4,339
+16.1%
McCalla
70.9%
83.0%
+12.1
+17.1
2
+2
0
0.0%
24,515
29,949
+5,434
+22.2%
Monteagle
60.3%
58.0%
–2.3
–3.8
2
+1
–1
–50.0%
28,311
29,099
+788
+2.8%
Okoboji
81.3%
N/A
N/A
N/A
0
+4
+4
14,295
18,098
+3,803
+26.6%
Panama City
81.9%
78.0%
–3.9
–4.7
7
+7
0
0.0%
23,690
19,148
–4,542
–19.2%
Phenix City
77.8%
72.0%
–5.8
–7.5
6
+8
+2
+33.3%
33,296
31,148
–2,148
–6.4%
Thomson
54.8%
51.3%
–3.5
–6.4
0
+1
+1
18,542
20,933
+2,391
+12.9%
Valley
68.1%
70.8%
+2.7
+4.0
2
+3
+1
+50.0%
26,178
31,364
+5,186
+19.8%
SSD Total
71.1%
64.7%
–6.5
–9.1
4
–29
–33
–825%
249,118
268,272
+19,154
+7.7%
There are no rows in this table
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)

Table 45
Property
Occ Jan 2025 (%)
Occ Jan 2026 (%)
Δ Occ (ppt)
Δ Occ (%)
NetRent Jan 2025
NetRent Jan 2026
Δ
Δ (%)
Revenue Jan 2025
Revenue Jan 2026
Δ 11
Δ (%) 12
Layton
82.4%
78%
–4.4
–5.4
0
2
2
21,939
21,905
–34
–0.2%
West Valley
79.7%
83%
+3.3
+4.1
–10
0
10
+100%
28,365
28,571
+206
+0.7%
SDU Total
81.1%
80.5%
–0.6
–0.7
–10
0
10
+100%
50,305
50,476
+171
+0.34%
There are no rows in this table
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)

Table 46
Property
Occ Jan 2025 (%)
Occ Jan 2026 (%)
Δ Occ (ppt)
Δ Occ (%)
NetRent Jan 2025
NetRent Jan 2026
Δ
Δ (%)
Revenue Jan 2025
Revenue Jan 2026
Δ 11
Δ (%) 12
Greenville
75%
71%
–4.0
–5.3
2
–7
–9
–450%
22,327
23,165
838
3.8%
Taylors
78.4%
81%
+2.6
+3.3
2
–3
–5
–250%
23,259
25,020
1,761
7.6%
GLS Total
76.7%
76%
–0.7
–0.9
4
–10
–14
–350%
45,587
48,185
2,598
5.7%
There are no rows in this table
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).

Want to print your doc?
This is not the way.
Try clicking the ··· in the right corner or using a keyboard shortcut (
CtrlP
) instead.