Professional Diversity Network (IPDN) Gross Margin (2012 - 2026)
Professional Diversity Network's Gross Margin was 39.11% in Q2 2026, down 4.31 percentage points from 43.42% a year earlier but up 4.56 percentage points from the prior quarter.
Professional Diversity Network (IPDN) Gross Margin (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Professional Diversity Network's Gross Margin was 37.87% through Jun 30, 2026, down 15.45 percentage points year-over-year; for FY2025, it came in at 43.12%, down 17.57 percentage points from FY2024.
- Gross Margin shows a five-year change of -39.22 percentage points (FY2020 to FY2025).
- In earlier years, Gross Margin was 60.68% in FY2024 (+5.63 pp), 55.05% in FY2023 (+6.29 pp), 48.76% in FY2022 (-26.25 pp) and 75.02% in FY2021 (-7.32 pp).
- Quarterly Gross Margin has moved between 33.66% (Q4 2025) and 79.41% (Q3 2021) over five years.
- Compared with a year earlier, Gross Margin has declined for seven straight quarters, with an average year-over-year change of -11.37 percentage points over the last eight quarters.
- The best year-over-year quarter for Gross Margin over five years was Q4 2023 (a gain of 26.59 percentage points); the worst was Q3 2022 (a drop of 37.51 percentage points).
- Per Business Quant data, IPDN's Gross Margin in the three quarters before Q2 2026 was 34.54% (Q1 2026), 33.66% (Q4 2025) and 44.05% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 32.77% |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 50.95% |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 52.76% |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 31.19% |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 52.84% |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 8.51% |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 51.10% |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 70.95% |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Professional Diversity Network | 1.66 Mn | -5.77 Mn | 461,966.00 | 39.11% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.11% |
| Mar 31, 2026 | 34.54% |
| Dec 31, 2025 | 33.66% |
| Sep 30, 2025 | 44.05% |
| Jun 30, 2025 | 43.42% |
| Mar 31, 2025 | 52.20% |
| Dec 31, 2024 | 58.58% |
| Sep 30, 2024 | 58.89% |
| Jun 30, 2024 | 62.95% |
| Mar 31, 2024 | 62.19% |
| Dec 31, 2023 | 63.17% |
| Sep 30, 2023 | 54.01% |
| Jun 30, 2023 | 58.44% |
| Mar 31, 2023 | 45.05% |
| Dec 31, 2022 | 36.58% |
| Sep 30, 2022 | 41.90% |
| Jun 30, 2022 | 57.53% |
| Mar 31, 2022 | 58.03% |
| Dec 31, 2021 | 55.40% |
| Sep 30, 2021 | 79.41% |
Professional Diversity Network Gross Margin 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=gross-margin&ticker=IPDN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=IPDN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();