This is a new announcement banner that can be turned on and off
This is a new announcement banner that can be turned on and off
A loan portfolio tracking spreadsheet provides a centralized way to monitor multiple loans throughout their lifecycle. It brings together essential details such as borrower information, loan balances, interest rates, payment schedules, and maturity dates into a single worksheet, making it easier to review the status of each facility.
A loan portfolio tracking spreadsheet keeps tabs on lending details, borrower information, and repayment progress across every loan in one place, typically through columns like loan ID, borrower name, original principal, interest rate, issue date, maturity date, outstanding balance, and payment status.
Loan portfolio tracking is the practice of watching every loan a lender, fund, or sponsor holds, rather than looking at one loan at a time. It usually covers how much is owed to the fund which industries or facility types make up the book, when loans are coming due, and whether each one is meeting its terms.
The key difference from tracking a single loan is scale. One loan means one payment schedule and one set of terms to watch. A portfolio means holding many of those in the same format, so patterns like too much money tied to one lender, or several loans coming due in the same quarter, are easy to spot across the whole book instead of getting lost in separate files.
The difficulty isn’t simply the number of rows; it’s maintaining an accurate picture as facilities are amended, lender allocations change, covenants are tested, maturities approach and multiple people rely on the same information .
A loan portfolio tracker needs the same set of columns on every row. At minimum:
Bigger portfolios often add a risk rating or a facility type as well. But these five groups are what make the rest of the tracker work, since summaries, filters, and maturity views all depend on this data being filled in the same way on every row.
A few formulas turn the tracker from a plain list into something that actively watches the portfolio for you.
Formula | What it does |
|---|---|
=PMT(rate/12, nper, -principal) | Works out the expected monthly payment for a loan, based on its rate, term, and principal. |
=PV(rate/12, nper-paid_periods, -payment, future_value) | Updates the current balance automatically as payments are made, instead of typing in a new number each month. |
=IF(TODAY()>due_date, “Overdue”, “Current”) | Marks a loan as overdue the moment its due date passes, without anyone having to check it by hand. |
=SUM(balance_range) | Adds up the total amount still owed across the whole portfolio. |
=SUMPRODUCT(balance_range, rate_range)/SUM(balance_range) | Works out the average interest rate across the portfolio, weighted so bigger loans count more than smaller ones. |
Pair the overdue formula with conditional formatting so late loans highlight automatically, rather than someone having to scan the whole sheet to find them.
A loan portfolio tracker is fundamentally a structured list, not a calculation-heavy model. The goal is consistency across rows, since the value of the spreadsheet comes from being able to filter, sort, and summarize across every facility at once.
A basic template needs a detail tab with one row per facility, using consistent columns across every row. The image below shows what that looks like for a small portfolio spanning several borrowers and lenders.
Notice that each row is a facility, not a company, and that covenant status is tracked as its own column rather than buried in a note. This is what makes the sheet usable for a quick answer to questions like “which facilities mature in the next two quarters” or “how much exposure do we have to a single lender,” without opening every underlying credit agreement.
A reusable version of this template should keep facility type, lender, and covenant status as dropdown-driven fields, and should separate the raw detail tab from any summary tab that rolls the data up, so the underlying data stays clean even as summary views change.
A spreadsheet works well for a small number of facilities updated by one person. The problems tend to show up as two variables grow at the same time: the number of facilities being tracked, and the number of people responsible for keeping the file current.
None of these are failures of Excel as a tool. They are structural limits of tracking live, changing information in a static file that has no way of knowing when its own data is out of date.
Tracking task | Handled manually in a spreadsheet | Handled automatically with Termgrid |
|---|---|---|
Source of truth | One file, often duplicated across team members | One live record per portfolio |
Maturity tracking | Requires manually sorting or filtering the sheet | Visible across the portfolio without manual review |
Version control | Duplicated/offline trackers and fragmented processes | Single shared record, no competing copies |
Scaling to more facilities | Manual reconciliation burden grows with each new facility | Same structure supports one facility or hundreds |
The pattern across every row in this table is the same: a spreadsheet requires a person to notice that something changed and manually update the file. Termgrid’s Portfolio Management module removes that dependency by tying the tracked data directly to each facility’s current terms, so updates propagate without a manual editing step.
Excel remains a reasonable choice for a small number of facilities with infrequent changes, tracked by one or two people. It stops being enough once any of the following are true:
Any one of these on its own might still be manageable in a spreadsheet. Several of them together are usually a sign that the operational risk of manual tracking has outgrown what a shared file can reliably support.
Every issue described above comes down to the same root cause: a spreadsheet has no concept of a portfolio’s current state. It only knows what was last typed into it, and nothing in Excel checks whether that information is still accurate.
Termgrid’s Portfolio Management module is built specifically for tracking debt across a portfolio, rather than starting from a single-loan spreadsheet and scaling it up. A few things this changes in practice:
Every facility lives in one record, not one row in a shared file. Instead of a detail tab that someone has to keep synchronized, each facility’s terms, allocation, and covenant status are stored once in Termgrid’s capital structure module, visible to the whole team at the same time.
Covenant tests draw from the same data as the rest of the portfolio. Termgrid’s Covenants module ties directly to the capital structure record, so a covenant test and the underlying facility data cannot drift apart the way they routinely do across separate spreadsheet tabs.
Maturities and exposure are visible across the whole portfolio, not reconstructed by filtering rows. Because every facility is tracked in the same underlying structure, questions like total exposure by lender or upcoming maturities in a given quarter are answered directly rather than requiring a manual PivotTable refresh.
This reflects the same underlying problem this guide describes throughout: tracking debt across a portfolio in a spreadsheet works until it doesn’t, and the point where it stops working is usually where a dedicated system starts to pay for itself.
For teams still managing this in a spreadsheet today, the practical near-term step is the same one recommended earlier in this guide: fix your fields, assign clear ownership of updates, and treat every amendment as a full reconciliation event. That keeps a spreadsheet workable for longer, even if it isn’t a permanent solution for a growing portfolio.
It means keeping an eye on every loan a lender, fund, or sponsor holds in one place, rather than checking each loan separately. It usually covers how much is owed, who it’s owed to, when loans are due, and whether each one is being paid on time.
At minimum: loan ID, borrower name, principal amount, current balance, interest rate, maturity date, and payment status. Larger portfolios often add a risk rating, fees, or which fund or lender the loan belongs to.
At least once a quarter, in line with normal reporting. Update it right away, too, whenever a loan’s terms change or a payment is missed, so the tracker never falls too far behind reality.
Yes, up to a point. There’s no limit on how many rows you can add, but the risk grows as the portfolio grows: more loans and more people updating the file both raise the chance that something gets missed or two people end up working from different versions.
Loan-to-value compares how much is still owed on a loan to the value of whatever is securing it. It’s a simple way to see how risky a secured loan is, and adding it as a column turns a basic tracker into something that also flags risk, not just loan details.
Run deals faster. Track covenants in real time. Strengthen portfolio oversight.
Stay in touch with all of our latest updates and articles.
