Professional Diversity Network (IPDN) Total Liabilities (2012 - 2026)
Professional Diversity Network's Total Liabilities was $3.83 million in Q2 2026, up 9.8% from $3.49 million a year earlier and up 6.1% from the prior quarter.
Professional Diversity Network (IPDN) Total Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Professional Diversity Network came in at $6.12 million, up 94.8% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $3.14 million in FY2024 (-16.4%), $3.76 million in FY2023 (-17.0%), $4.53 million in FY2022 (-23.0%) and $5.88 million in FY2021 (+10.3%).
- Quarterly Total Liabilities has moved between $3.14 million (Q4 2024) and $6.12 million (Q4 2025) over five years.
- Compared with a year earlier, Total Liabilities has increased for three straight quarters, with growth averaging 5.6% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q4 2025 (growth of 94.8%); the worst was Q2 2024 (a decline of 25.5%).
- Per Business Quant data, IPDN's Total Liabilities in the three quarters before Q2 2026 was $3.61 million (Q1 2026), $6.12 million (Q4 2025) and $3.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 35.79 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 5.39 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 23.24 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 6.43 Bn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 1.93 Bn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 10.58 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 1.50 Bn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 7.36 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Professional Diversity Network | 1.66 Mn | -5.77 Mn | 461,966.00 | 3.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.83 Mn |
| Mar 31, 2026 | 3.61 Mn |
| Dec 31, 2025 | 6.12 Mn |
| Sep 30, 2025 | 3.20 Mn |
| Jun 30, 2025 | 3.49 Mn |
| Mar 31, 2025 | 3.44 Mn |
| Dec 31, 2024 | 3.14 Mn |
| Sep 30, 2024 | 3.66 Mn |
| Jun 30, 2024 | 3.79 Mn |
| Mar 31, 2024 | 3.83 Mn |
| Dec 31, 2023 | 3.76 Mn |
| Sep 30, 2023 | 4.44 Mn |
| Jun 30, 2023 | 5.09 Mn |
| Mar 31, 2023 | 4.70 Mn |
| Dec 31, 2022 | 4.53 Mn |
| Sep 30, 2022 | 4.39 Mn |
| Jun 30, 2022 | 4.34 Mn |
| Mar 31, 2022 | 5.56 Mn |
| Dec 31, 2021 | 5.88 Mn |
| Sep 30, 2021 | 5.45 Mn |
Professional Diversity Network 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=IPDN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "IPDN", "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=IPDN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();