Databricks, Inc.
Databricks sells a cloud data platform. Companies use it to store very large volumes of raw data, clean and organise that data, and run analytics and machine-learning models on it in one place - an approach the company calls the data lakehouse, combining the cheap storage of a data lake with the query behaviour of a data warehouse. It was founded in 2013 in San Francisco by the creators of the open-source Apache Spark project, and remains a privately held, venture-backed company.
Company profile. Written by an AI model from public web sources; not checked for copying; not taken from the company's or the lender's SEC filing. — distinct from the SEC Schedule-of-Investments pricing data below. · AI-generated analysis. Not investment advice. May contain errors.
Lenders
Databricks, Inc. is held by 2 BDC lenders in our parsed SEC filings: AGTC, ARCC.
Cross-lender loan pricing
Each row is one debt tranche at the BDC’s most recent filing that holds this borrower, widest spread first. Mark is the position’s fair value as a percent of par (100 = par). Spread is shown in basis points over the benchmark in the Rate column, normalized from each filing’s as-reported units — rows quoting different benchmarks are still not directly comparable. Compare like-for-like: a second-lien tranche, a different vintage, or an older filing should price wider even when the credit view is identical — check the Type and Filing columns before reading a gap as disagreement. Source: SEC EDGAR (public).
| BDC | Type | Rate | Cash spread (bps) | Mark (% of par) | Fair Value | Maturity | Filing |
|---|---|---|---|---|---|---|---|
| AGTC | 1L Sr Secured | SOFR | 450 | 99.4 | $3M | 2032-01 | 2026-08-07 |
| ARCC | 1L Sr Secured | SOFR | 450 | 100.0 | $100K | 2032-01 | 2026-07-29 |
Marks reflect each BDC’s own fair-value estimates as reported to the SEC, not traded prices. Private-credit loans are predominantly Level 3 under ASC 820 — valued from unobservable inputs and determined in good faith under the oversight of each BDC’s board (often by the adviser as valuation designee), so figures are estimates as of the period end each filing reports, not its filing date, and are not directly comparable across managers. Informational only; not investment advice or a valuation.
Ownership & deal activity
Headlines mentioning Databricks, Inc.
Public headlines that name Databricks, Inc., matched by company name and shown most-recent first. A mention is not an endorsement, a rating, or investment advice — verify anything material against the original source. Source: Google News.
- Troutman Amin, LLP, Official Law Firm of UC Berkeley Golden Bears, Celebrates Databricks Field Naming Deal
- AI firm Databricks valued at $190 billion as it bags $5 billion in funding
- Wipro Limited and Databricks Inc. Partner to Enable Enterprises to Modernize Data and Deploy Ai At Scale
- Coatue Leads Databricks Funding Round at $188 Billion Valuation
- News | Databricks expansion adds momentum to Seattle’s fast-growing AI office hub
- Snowflake, Databricks and the model makers: The battle for the agentic client and AI back end
- Personal agents light the fuse as Snowflake and Databricks move up the AI stack
Reading this table
When two business development companies lend to the same borrower, comparing how each marks the loan is a starting question, not a verdict. In plain English: a wider spread (e.g. S+575 vs S+525) or a lower mark (e.g. 96 vs 100 cents on the dollar) can mean that lender is pricing in more risk — but marks can also differ for reasons other than a credit view: a different tranche (second lien should price wider than first lien on the same company), a different vintage or entry point, an older filing date, or each manager’s own fair-value methodology. Compare like-for-like — check the Type and Filing columns before reading a gap as disagreement. Each row is one debt position at one BDC’s most recent filing. Source: SEC EDGAR Schedule of Investments (public).
Want to read these numbers like an analyst? Free Oxford Ledge lessons: reading a BDC’s Schedule of Investments, key credit metrics, and the Five Cs of credit analysis.