Medpace Holdings (MEDP) Total Liabilities (2015 - 2026)
Medpace Holdings' Total Liabilities came in at $1.72 billion for Q3 2026, up 17.7% from $1.46 billion a year earlier and up 5.8% from the prior quarter.
Medpace Holdings (MEDP) Total Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, Medpace Holdings' Total Liabilities was $1.52 billion, up 18.9% from FY2024.
- Total Liabilities has increased in each of the last seven years, with a five-year compound annual growth rate of 21.0% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $1.28 billion in FY2024 (+16.2%), $1.1 billion in FY2023 (+13.6%), $966.11 million in FY2022 (+36.6%) and $707.01 million in FY2021 (+20.9%).
- The Q3 2026 figure represents the highest quarterly Total Liabilities in data going back to Q4 2015.
- Year-over-year, Total Liabilities has increased for 13 consecutive quarters, with growth averaging 18.1% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q2 2022 (growth of 67.1%), and the weakest in Q2 2023 (a decline of 1.6%).
- Business Quant data shows MEDP's Total Liabilities at $1.62 billion (Q2 2026), $1.53 billion (Q1 2026) and $1.52 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Iqvia Holdings | 42.58 Bn | 33.96 Bn | 1.50 Bn | 23.68 Bn |
| 2 | Medpace Holdings | 18.13 Bn | 15.77 Bn | 223.89 Mn | 1.72 Bn |
| 3 | Charles River Laboratories International | 16.15 Bn | 15.39 Bn | 363.37 Mn | 4.69 Bn |
| 4 | Icon | 15.71 Bn | 12.48 Bn | 491.83 Mn | 7.12 Bn |
| 5 | Fortrea Holdings | 1.93 Bn | 1.22 Bn | 139.50 Mn | 2.21 Bn |
| 6 | Ginkgo Bioworks Holdings | 627.55 Mn | -134.53 Mn | 18.44 Mn | 569.76 Mn |
| 7 | Evotec SE | 540.45 Mn | -1.07 Bn | - | 1.04 Bn |
| 8 | Champions Oncology | 68.48 Mn | 44.13 Mn | 7.70 Mn | 28.83 Mn |
| 9 | MindWalk Holdings | 51.38 Mn | 15.04 Mn | 1.61 Mn | 7.43 Mn |
| 10 | Natural Alternatives International | 6.45 Mn | -21.63 Mn | 1.73 Mn | 76.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.72 Bn |
| Jun 30, 2026 | 1.62 Bn |
| Mar 31, 2026 | 1.53 Bn |
| Dec 31, 2025 | 1.52 Bn |
| Sep 30, 2025 | 1.46 Bn |
| Jun 30, 2025 | 1.40 Bn |
| Mar 31, 2025 | 1.30 Bn |
| Dec 31, 2024 | 1.28 Bn |
| Sep 30, 2024 | 1.20 Bn |
| Jun 30, 2024 | 1.16 Bn |
| Mar 31, 2024 | 1.12 Bn |
| Dec 31, 2023 | 1.10 Bn |
| Sep 30, 2023 | 1.02 Bn |
| Jun 30, 2023 | 1.02 Bn |
| Mar 31, 2023 | 1.05 Bn |
| Dec 31, 2022 | 966.11 Mn |
| Sep 30, 2022 | 978.54 Mn |
| Jun 30, 2022 | 1.03 Bn |
| Mar 31, 2022 | 739.33 Mn |
| Dec 31, 2021 | 707.01 Mn |
Medpace Holdings Total Liabilities API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=total-liabilities&ticker=MEDP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "MEDP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=MEDP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();