Ptc (PTC) Interest Expenses (2016 - 2026)
Ptc (PTC) recorded Interest Expenses of $15.8 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 14.1% from $18.4 million a year earlier but up 3.1% from the prior quarter.
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Analysis
Ptc (PTC) Interest Expenses (2016 - 2026) Analysis & Trends
On a TTM basis, Ptc's Interest Expenses came in at $65.35 million as of Jun 30, 2026, down 23.2% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $77.02 million, down 35.7% from FY2024.
- Annual Interest Expenses has a five-year compound annual growth rate of 0.2% (FY2020 to FY2025).
- Across earlier fiscal years, Interest Expenses came in at $119.7 million in FY2024 (-7.5%), $129.42 million in FY2023 (+138.3%), $54.3 million in FY2022 (+7.5%) and $50.5 million in FY2021 (-33.9%).
- Quarterly Interest Expenses has ranged from $12.24 million in fiscal Q2 2022 to $41.53 million in fiscal Q2 2023 over the past five years.
- On a year-over-year basis, Interest Expenses has declined for ten consecutive quarters, with an average decline of 28.6% over the last eight quarters.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 239.3% in fiscal Q2 2023, against a decline of 38.0% in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $15.33 million (Q2 2026), $17.3 million (Q1 2026) and $16.92 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | - |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | - |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | - |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 15.80 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 20.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | - |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | - |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | - |
| 10 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.80 Mn |
| Mar 31, 2026 | 15.33 Mn |
| Dec 31, 2025 | 17.30 Mn |
| Sep 30, 2025 | 16.92 Mn |
| Jun 30, 2025 | 18.40 Mn |
| Mar 31, 2025 | 19.61 Mn |
| Dec 31, 2024 | 22.05 Mn |
| Sep 30, 2024 | 25.00 Mn |
| Jun 30, 2024 | 27.80 Mn |
| Mar 31, 2024 | 31.60 Mn |
| Dec 31, 2023 | 35.33 Mn |
| Sep 30, 2023 | 35.70 Mn |
| Jun 30, 2023 | 35.84 Mn |
| Mar 31, 2023 | 41.53 Mn |
| Dec 31, 2022 | 16.40 Mn |
| Sep 30, 2022 | 15.30 Mn |
| Jun 30, 2022 | 13.80 Mn |
| Mar 31, 2022 | 12.24 Mn |
| Dec 31, 2021 | 12.99 Mn |
| Sep 30, 2021 | 12.88 Mn |
API Access
Ptc Interest Expenses 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=interest-expenses&ticker=PTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "PTC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=PTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();