Old Foundry: MoM Update (Dec 2025 → Jan 2026)
Executive Summary
Month‑over‑month performance was largely stable. Occupancy held flat (~56.0%), net move‑ins improved, and collected revenue ticked up slightly. No major negative swings occurred; the only downward move was a minor drop in average occupied rent. In this report, we compare Dec’25 vs Jan’26 for Occupancy %, Net Rentals, Actual Occupied Rent, and Revenue Collected, highlight any adverse trends, and recommend next steps.
Key Metrics (Dec’25 vs Jan’26)
Occupancy: Unchanged at 56.0%. Dec and Jan both had 82 occupied units (on ~147 total), so occupancy stayed flat. Net Rentals: Improved from –5 to 0. In Jan, lease activity balanced (9 move-ins vs 9 move-outs) versus a net loss of 5 in Dec, hence a +5 unit gain. Occupied Rent: Slightly decreased ($18,565→$18,356), a –1.1% drop. Revenue: Increased by $97 (+0.6%), reflecting the full collection of January rents (Dec had $15,306, Jan $15,403). No significant negative variances emerged; occupancy was stable and revenue edged up.
Trends and Drivers
Flat Occupancy (Neutral Trend): Occupancy remained at 56%. Typically, winter months see a slight dip (seasonal trough), but here occupancy held steady. This suggests tenant demand remained resilient in Jan. There were no new vacancies or major unit turn‑over beyond normal move‑out/in activity. Net Rentals Up (Positive Trend): The net rentals count moved from –5 to 0. In practical terms, the extra move‑ins filled all recent move‑outs, turning a loss into break-even. This improvement likely stems from timely leasing of vacated units. Occupied Rent Down (Minor Negative): The –1.1% drop in actual occupied rent could indicate a slight change in tenant mix or lease rates. It may be due to one or two tenants renewing at marginally lower rents, or a high-rent tenant exiting. The impact was small (<$210), so it did not materially affect occupancy or cash flow. Revenue Up (Positive Trend): Collected revenue rose modestly. January’s rent roll was slightly higher than December’s (roughly +$100). This likely reflects normal billing (no unusual concessions or write-offs). Causes for Any Negative Change
Lease Turnover: The minor occupied-rent decline suggests a small lease turnover into lower rent. The details from the rent roll would confirm if specific tenants left or discounted rates were given. No Concessions or Collections Issues: There’s no indication of increased rent concessions or delinquency. Accounts receivable were negligible, and collections stayed current. Charts (MoM Trends)
To illustrate these movements, here is a summary chart:
Occupancy and Net Rentals: Occupancy remained at 56%, while Net Rentals improved from –5 to 0 units. Rent and Revenue: Occupied rent dipped slightly; revenue rose slightly. (Charts not shown here due to text format)
Methodology and Data Sources
Data is taken directly from the Old Foundry EOM report for Dec 2025 and Jan 2026 (uploaded file). Row labels were matched to “Total Unit Occupancy %,” “Net Rentals,” “Actual Occupied Rent,” and “Revenue Collected.” MoM % changes and deltas were calculated from those values. Additional fields (move-ins/outs, rent roll, etc.) were reviewed to explain trends. For example, move-in/out counts confirm the net rental improvement. Recommendations
Maintain Occupancy: Continue marketing at least at current levels to keep occupancy flat. No immediate concern exists since winter seasonality is normal. Lease Optimization: Investigate the slight rent drop. If key high-rate tenants left, consider targeted lease-up or renewal strategies to recoup revenue. Monitor Collections: Keep tracking receivables. January collections were good, but diligent follow-up ensures cash flow remains smooth. Plan for February: Since January held steady, ensure that any upcoming vacancies or lease expirations are addressed proactively (e.g. prescreen tenants, adjust pricing if needed). No major negative issues were detected month‑over‑month; the focus should be on sustaining occupancy and addressing the minor rent/Rental-rate change. The data required to support this analysis included monthly occupancy counts, unit counts, move‑ins/outs, and rent/revenue collections from the EOM report (if these were missing, we would need those fields to compute the above metrics).