Factset Research Systems (FDS) Net Equity Issued and Repurchased (2009 - 2026)
Factset Research Systems (FDS) recorded Net Equity Issued and Repurchased of $10.87 million in fiscal Q3 2026 (quarter ended May 31, 2026), down 11.4% from $12.27 million a year earlier but up 33.9% from the prior quarter.
Factset Research Systems (FDS) Net Equity Issued and Repurchased (2009 - 2026) Analysis & Trends
On a TTM basis, Factset Research Systems' Net Equity Issued and Repurchased came in at $36.61 million as of May 31, 2026, down 54.7% year-over-year; for FY2025 (ended Aug 31, 2025), it came in at $81.69 million, down 10.9% from FY2024.
- Annual Net Equity Issued and Repurchased has a five-year compound annual growth rate of -3.1% (FY2020 to FY2025).
- Across earlier fiscal years, Net Equity Issued and Repurchased came in at $91.71 million in FY2024 (+27.4%), $72.01 million in FY2023 (-16.3%), $86.05 million in FY2022 (+34.1%) and $64.18 million in FY2021 (-32.8%).
- Quarterly Net Equity Issued and Repurchased has ranged from $8.12 million in fiscal Q2 2026 to $38.85 million in fiscal Q1 2025 over the past five years.
- On a year-over-year basis, Net Equity Issued and Repurchased has declined for three consecutive quarters, with an average decline of 28.1% over the last eight quarters.
- Peak year-over-year performance for Net Equity Issued and Repurchased in the last five years was growth of 100.9% in fiscal Q2 2022, against a decline of 78.0% in fiscal Q1 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $8.12 million (Q2 2026), $8.55 million (Q1 2026) and $9.07 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Equity Issued (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | - |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 11.00 Mn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 12.50 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 5.60 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 6.40 Mn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | - |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 10.87 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | - |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 62.00 Mn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 10.87 Mn |
| Feb 28, 2026 | 8.12 Mn |
| Nov 30, 2025 | 8.55 Mn |
| Aug 31, 2025 | 9.07 Mn |
| May 31, 2025 | 12.27 Mn |
| Feb 28, 2025 | 21.49 Mn |
| Nov 30, 2024 | 38.85 Mn |
| Aug 31, 2024 | 8.21 Mn |
| May 31, 2024 | 16.95 Mn |
| Feb 29, 2024 | 38.14 Mn |
| Nov 30, 2023 | 28.40 Mn |
| Aug 31, 2023 | 16.12 Mn |
| May 31, 2023 | 12.28 Mn |
| Feb 28, 2023 | 20.18 Mn |
| Nov 30, 2022 | 23.42 Mn |
| Aug 31, 2022 | 11.87 Mn |
| May 31, 2022 | 17.25 Mn |
| Feb 28, 2022 | 21.17 Mn |
| Nov 30, 2021 | 35.76 Mn |
| Aug 31, 2021 | 17.22 Mn |
Factset Research Systems Net Equity Issued and Repurchased 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=net-equity-issued-and-repurchased&ticker=FDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-equity-issued-and-repurchased", "ticker": "FDS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=net-equity-issued-and-repurchased&ticker=FDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();