### BUGGY CODE ###

def validate(paths, start):
    """
    有効な経路をDFS(深さ優先探索)
    経路をsetで返す
    """

    valid_paths = {start}
    stack = [start]

    while stack:
        v = stack.pop()
        if v not in paths:
            continue
        for w in paths[v]:
            if w in valid_paths:
                continue
            valid_paths.add(w)
            stack.append(w)
    return valid_paths


def bellman_ford(edges, num_v, start, end):
    """
    有向グラフ(負閉路有り)の最短距離

    num_v: 頂点の数(number_of_vertex)
    edges: 頂点(from, to, cost)
    """

    # グラフの初期化
    INF = float("inf")
    dist = [INF] * num_v
    # 始点は0にする
    dist[start] = 0

    # 辺の緩和
    # 負の閉路が無ければ、num_v-1回までで収束する
    for _ in range(num_v):
        updated = False
        for f, t, c in edges:
            if dist[f] == INF:
                continue

            # コストが以前のものより小さければ更新
            cost = dist[f] + c
            if cost < dist[t]:
                dist[t] = cost
                updated = True
        if not updated:
            break
    else:
        # num_v回の時に更新があるなら負閉路が存在する
        return -1

    return max(-dist[end], 0)


def main():
    from collections import defaultdict

    n, m, p, *tmp = map(int, open(0).read().split())

    paths_rev = defaultdict(list)
    edges = []
    for a, b, c in zip(*[iter(tmp)]*3):
        # 頂点nからの経路をdfsするため、辺の向きを逆にする
        paths_rev[b-1].append(a-1)
        edges.append((a-1, b-1, p-c))

    valid_paths = validate(paths_rev, n-1)
    edges = [
        (a, b, c)
        for a, b, c in edges
        if a in valid_paths and b in valid_paths
    ]
    paths_rev.clear()
    res = bellman_ford(edges, n, 0, n-1)
    print(res)

if __name__ == '__main__':
    main()


### FIXED CODE ###

def validate(paths, start):
    """
    有効な経路をDFS(深さ優先探索)
    経路をsetで返す
    """

    valid_paths = {start}
    stack = [start]

    while stack:
        v = stack.pop()
        if v not in paths:
            continue
        for w in paths[v]:
            if w in valid_paths:
                continue
            valid_paths.add(w)
            stack.append(w)
    return valid_paths


def bellman_ford(edges, num_v, start, end):
    """
    有向グラフ(負閉路有り)の最短距離

    num_v: 頂点の数(number_of_vertex)
    edges: 頂点(from, to, cost)
    """

    # グラフの初期化
    INF = 10**18
    dist = [INF] * num_v
    # 始点は0にする
    dist[start] = 0

    # 辺の緩和
    # 負の閉路が無ければ、num_v-1回までで収束する
    for _ in range(num_v):
        updated = False
        for f, t, c in edges:
            if dist[f] == INF:
                continue

            # コストが以前のものより小さければ更新
            cost = dist[f] + c
            if cost < dist[t]:
                dist[t] = cost
                updated = True
        if not updated:
            break
    else:
        # num_v回の時に更新があるなら負閉路が存在する
        return -1

    return max(-dist[end], 0)


def main():
    from collections import defaultdict

    n, m, p, *tmp = map(int, open(0).read().split())

    paths_rev = defaultdict(list)
    edges = []
    for a, b, c in zip(*[iter(tmp)]*3):
        # 頂点nからの経路をdfsするため、辺の向きを逆にする
        paths_rev[b-1].append(a-1)
        edges.append((a-1, b-1, p-c))

    valid_paths = validate(paths_rev, n-1)
    edges = [
        (a, b, c)
        for a, b, c in edges
        if a in valid_paths and b in valid_paths
    ]
    res = bellman_ford(edges, n, 0, n-1)
    print(res)

if __name__ == '__main__':
    main()