Pamt (PAMT) Short-Term Debt repayments (2010 - 2026)
Pamt (PAMT) recorded Short-Term Debt repayments of $192.63 million in Q2 2026, up 11.7% from $172.53 million a year earlier and up 32.9% from the prior quarter.
Pamt (PAMT) Short-Term Debt repayments (2010 - 2026) Analysis & Trends
On a TTM basis, Pamt's Short-Term Debt repayments came in at $664.4 million as of Jun 30, 2026, down 3.8% year-over-year; for FY2025, it was $651.65 million, down 13.2% from FY2024.
- Annual Short-Term Debt repayments has declined for three straight years, though with a five-year compound annual growth rate of 4.8% (FY2020 to FY2025).
- Across earlier years, Short-Term Debt repayments came in at $750.91 million in FY2024 (-14.6%), $879.19 million in FY2023 (-7.0%), $945.61 million in FY2022 (+40.6%) and $672.46 million in FY2021 (+30.2%).
- The Q2 2026 figure is the highest quarterly Short-Term Debt repayments since Q1 2024.
- On a year-over-year basis, Short-Term Debt repayments rose in 1 of the last eight quarters, with an average decline of 6.4%.
- Peak year-over-year performance for Short-Term Debt repayments in the last five years was growth of 114.8% in Q2 2022, against a decline of 30.8% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $144.98 million (Q1 2026), $176.88 million (Q4 2025) and $149.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | - |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | - |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | - |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - | - |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - | - |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - | - |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - | - |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - | - |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - | - |
| 10 | Pamt | 291.11 Mn | -46.40 Mn | 100.01 Mn | 192.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 192.63 Mn |
| Mar 31, 2026 | 144.98 Mn |
| Dec 31, 2025 | 176.88 Mn |
| Sep 30, 2025 | 149.90 Mn |
| Jun 30, 2025 | 172.53 Mn |
| Mar 31, 2025 | 152.33 Mn |
| Dec 31, 2024 | 181.28 Mn |
| Sep 30, 2024 | 184.79 Mn |
| Jun 30, 2024 | 176.98 Mn |
| Mar 31, 2024 | 207.85 Mn |
| Dec 31, 2023 | 186.94 Mn |
| Sep 30, 2023 | 194.17 Mn |
| Jun 30, 2023 | 215.57 Mn |
| Mar 31, 2023 | 282.52 Mn |
| Dec 31, 2022 | 224.73 Mn |
| Sep 30, 2022 | 225.01 Mn |
| Jun 30, 2022 | 311.69 Mn |
| Mar 31, 2022 | 184.18 Mn |
| Dec 31, 2021 | 203.99 Mn |
| Sep 30, 2021 | 173.60 Mn |
Pamt Short-Term Debt repayments 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=short-term-debt-repayments&ticker=PAMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "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=short-term-debt-repayments&ticker=PAMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();