Pamt (PAMT) Interest Expenses (2011 - 2026)
Pamt (PAMT) recorded Interest Expenses of $4.62 million in Q2 2026, up 14.5% from $4.03 million a year earlier and up 1.7% from the prior quarter.
Pamt (PAMT) Interest Expenses (2011 - 2026) Analysis & Trends
On a TTM basis, Pamt's Interest Expenses came in at $18.54 million as of Jun 30, 2026, up 22.4% year-over-year; for FY2025, it came in at $17.46 million, up 31.9% from FY2024.
- Annual Interest Expenses has increased for three straight years, with a five-year compound annual growth rate of 14.6% (FY2020 to FY2025).
- Across earlier years, Interest Expenses came in at $13.24 million in FY2024 (+44.3%), $9.18 million in FY2023 (+15.7%), $7.93 million in FY2022 (-1.4%) and $8.04 million in FY2021 (-8.8%).
- Quarterly Interest Expenses has ranged from $1.67 million in Q4 2021 to $4.91 million in Q4 2025 over the past five years.
- On a year-over-year basis, Interest Expenses has increased for 16 consecutive quarters, with growth averaging 32.8% over the last eight quarters.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 58.3% in Q4 2024, against a decline of 26.9% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.54 million (Q1 2026), $4.91 million (Q4 2025) and $4.48 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 313.00 Mn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 211.00 Mn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | - |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 272.00 Mn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 197.00 Mn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | - |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 76,000.00 |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | -17.32 Mn |
| 10 | Pamt | 238.95 Mn | -98.56 Mn | 100.01 Mn | 4.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.62 Mn |
| Mar 31, 2026 | 4.54 Mn |
| Dec 31, 2025 | 4.91 Mn |
| Sep 30, 2025 | 4.48 Mn |
| Jun 30, 2025 | 4.03 Mn |
| Mar 31, 2025 | 4.04 Mn |
| Dec 31, 2024 | 4.14 Mn |
| Sep 30, 2024 | 2.94 Mn |
| Jun 30, 2024 | 3.28 Mn |
| Mar 31, 2024 | 2.88 Mn |
| Dec 31, 2023 | 2.61 Mn |
| Sep 30, 2023 | 2.05 Mn |
| Jun 30, 2023 | 2.16 Mn |
| Mar 31, 2023 | 2.36 Mn |
| Dec 31, 2022 | 2.34 Mn |
| Sep 30, 2022 | 1.92 Mn |
| Jun 30, 2022 | 2.00 Mn |
| Mar 31, 2022 | 1.67 Mn |
| Dec 31, 2021 | 1.67 Mn |
| Sep 30, 2021 | 1.90 Mn |
Pamt 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=PAMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "PAMT", "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=PAMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();